Masanori Kado / 角征典 kdmsnr

## md-wiki-link.el
;; Markdown で [[WikiLink]] を開きたい
(defun open-wiki-link (link-name)
  (let ((directories '("." "books"))
        (file-found nil))
    (dolist (dir directories)
      (let ((path (concat dir "/" link-name ".md")))
        (when (and (not file-found) (file-exists-p path))
          (setq file-found t)
          (find-file path))))
    (unless file-found

## gist:f310df591d6de92b11cf64330af2ab02
data:text/html;utf-8,<!DOCTYPE html><body><script>setTimeout(function(){const now = new Date();const year = now.getFullYear();const month = (now.getMonth() + 1).toString().padStart(2, "0");const date = now.getDate().toString().padStart(2, "0");const url = `https://artscape.jp/exhibition/schedule/exhi_schedule_result.php?pref=東京都&Year=${year}&Month=${month}&Day=${date}&period=1&selorder=1&chk_pic=1&f_submit=on`;window.location.replace(url) }, 1);</script></body>

## remove-watched-programs-for-tver.tampermonkey.user.js
// ==UserScript==
// @name         Remove watched programs for TVer
// @namespace    https://kdmsnr.com
// @version      0.1.2
// @description  Remove watched programs from the mypage of TVer
// @author       kdmsnr
// @match        https://tver.jp/mypage/fav
// @icon         https://www.google.com/s2/favicons?sz=64&domain=tampermonkey.net
// @grant        none
// @run-at       document-end

## teaming.py
from sklearn.cluster import KMeans
from sklearn.preprocessing import OneHotEncoder
import numpy as np
import random

# カテゴリカルな属性の値のリスト
genders = ["Male", "Female"]
blood_types = ["A", "B", "O", "AB"]

# メンバーの生成（50人、ランダムな属性）

## teaming.py
from sklearn.cluster import KMeans
from sklearn.preprocessing import MinMaxScaler
import numpy as np
import random

# メンバーの生成（50人、ランダムな属性）
# カテゴリカルな属性の場合は、https://gist.github.com/kdmsnr/ed71e9dbbf228b3a03cca99183484ac2 を参照する
members = [
    {"name": f"member{i}", "attributes": [random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)]}
    for i in range(50)

## latex-imenu.el
(defun latex-create-imenu-index ()
 (let ((index '())
       (pattern (rx "\\" (group (or "part" "chapter" "section" "subsection" "paragraph" "subparagraph"))
                    "{" (group (* (not (any "}")))) "}"))
       (pairs '(
         (part . 0)
         (chapter . 0)
         (section . 2)
         (subsection . 4)
         (paragraph . 6)

## wiki記法はcome-fromリンクにしたくない.el
;; * come-fromリンクは自動リンクのための機能に限定したい
;; * wiki記法は単にタイトルにマッチするところにリンクしたい
;; * goto-linkはもっと広い検索にしたい（wiki記法との違いを出したい）
(defun howm-keyword-search-create (title)
  (let* ((q (replace-regexp-in-string "<<< " "" title)))
       (howm-keyword-search-subr (concat howm-view-title-header " " q) nil nil)))

## alfred-workflow-scrapbox.rb
# Originally created by Yuta Yamamoto <https://github.com/tuki0918/alfred-scrapbox-listview>

file = "/tmp/#{ENV['projectId']}-scrapbox.json"
if !File.exist?(file) or File.mtime(file) < (Time.now - 3*3600)
  `/usr/bin/curl -H "Cookie: connect.sid=#{ENV['token']}" -o #{file} -s "https://scrapbox.io/api/pages/#{ENV['projectId']}?limit=1000&sort=accessed"`
end

q = `echo "{query}" | /usr/local/bin/nkf -w --ic=utf8-mac`
q.strip!

## pandocでtexファイルを作ってpdfにする.md

      
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                kdmsnr
                / pandocでtexファイルを作ってpdfにする.md
            
            
              Last active
              September 3, 2021 05:25
            
          
pandocはtexファイルを作るまで使用するだけ
texファイルは自分でコンパイルする

1. Markdownに適当に書く

# タイトル

世紀の大発見でした[@book-first]

  
## howmでファイルを除外したい.el
;; howm-excluded-file-regexpに設定すればいい
(setq howm-excluded-file-regexp
      (concat howm-excluded-file-regexp "\\|flycheck_\\|todo\\|[.]txt"))
	;; Markdown で [[WikiLink]] を開きたい
	(defun open-wiki-link (link-name)
	(let ((directories '("." "books"))
	(file-found nil))
	(dolist (dir directories)
	(let ((path (concat dir "/" link-name ".md")))
	(when (and (not file-found) (file-exists-p path))
	(setq file-found t)
	(find-file path))))
	(unless file-found
	from sklearn.cluster import KMeans
	from sklearn.preprocessing import OneHotEncoder
	import numpy as np
	import random

	# カテゴリカルな属性の値のリスト
	genders = ["Male", "Female"]
	blood_types = ["A", "B", "O", "AB"]

	# メンバーの生成（50人、ランダムな属性）
	from sklearn.cluster import KMeans
	from sklearn.preprocessing import MinMaxScaler
	import numpy as np
	import random

	# メンバーの生成（50人、ランダムな属性）
	# カテゴリカルな属性の場合は、https://gist.github.com/kdmsnr/ed71e9dbbf228b3a03cca99183484ac2 を参照する
	members = [
	{"name": f"member{i}", "attributes": [random.randint(1, 10), random.randint(1, 10), random.randint(1, 10)]}
	for i in range(50)
	(defun latex-create-imenu-index ()
	(let ((index '())
	(pattern (rx "\\" (group (or "part" "chapter" "section" "subsection" "paragraph" "subparagraph"))
	"{" (group (* (not (any "}")))) "}"))
	(pairs '(
	(part . 0)
	(chapter . 0)
	(section . 2)
	(subsection . 4)
	(paragraph . 6)
	;; * come-fromリンクは自動リンクのための機能に限定したい
	;; * wiki記法は単にタイトルにマッチするところにリンクしたい
	;; * goto-linkはもっと広い検索にしたい（wiki記法との違いを出したい）
	(defun howm-keyword-search-create (title)
	(let* ((q (replace-regexp-in-string "<<< " "" title)))
	(howm-keyword-search-subr (concat howm-view-title-header " " q) nil nil)))
	# Originally created by Yuta Yamamoto <https://github.com/tuki0918/alfred-scrapbox-listview>

	file = "/tmp/#{ENV['projectId']}-scrapbox.json"
	if !File.exist?(file) or File.mtime(file) < (Time.now - 3*3600)
	`/usr/bin/curl -H "Cookie: connect.sid=#{ENV['token']}" -o #{file} -s "https://scrapbox.io/api/pages/#{ENV['projectId']}?limit=1000&sort=accessed"`
	end

	q = `echo "{query}" \| /usr/local/bin/nkf -w --ic=utf8-mac`
	q.strip!
	;; howm-excluded-file-regexpに設定すればいい
	(setq howm-excluded-file-regexp
	(concat howm-excluded-file-regexp "\\\|flycheck_\\\|todo\\\|[.]txt"))