mkyt

const spawn = require('child_process').spawn;
const execFile = require('child_process').execFile;
const ffmpeg = process.env.FFMPEG;
const ffprobe = process.env.FFPROBE;

const input = process.env.INPUT;
const output = process.env.OUTPUT;
const isDualMono = parseInt(process.env.AUDIOCOMPONENTTYPE, 10) == 2;
const args = ['-y'];

mkyt

#!/usr/bin/env python3
from pathlib import Path
from typing import Union, Tuple, List, NamedTuple, Dict
import sys


class Block(NamedTuple):
    name: str
    created: int
    updated: int

mkyt

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
set_pdf_dir.py

Set direction and/or page layout properties of PDF files.

Usage:
$ ./set_pdf_dir.py -l r2l -d book -o my_pdf_1.pdf my_pdf_2.pdf

mkyt

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""HCP Downloader

This script fetches preprocessed BOLD timeseries in grayordinate space
for all subjects from Human Connectome Project S3 repository
"""
import sys
import os
import os.path

mkyt

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""eijiro.py  - convert EIJIRO text data into JSON format

Input: Raw EIJIRO text data (can be purchased from https://booth.pm/ja/items/777563 )
Output: Dictionary data in JSON format


< Data Schema >

mkyt

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from urllib.request import urlopen
import re
import json
from pprint import pprint
from bs4 import BeautifulSoup

BASE_URL = 'http://www.club.t-fal.co.jp'
LIST_URL = BASE_URL + '/recipe/category/c4m-express/{:d}/'

mkyt

#!/usr/bin/env python3
# -*- coding: utf-8 -*-

import sys
import re
import os.path


timecode_pat = re.compile(r'\[(\d{2}:\d{2}:\d{2})\]')
timecode_parser = re.compile(r'(\d{2}):(\d{2}):(\d{2})')

mkyt

#!/usr/bin/env python
from Bio import SeqIO
from Bio.SeqRecord import SeqRecord
from Bio.Seq import Seq
from Bio.Blast.Applications import NcbiblastpCommandline
from Bio.Blast import NCBIXML
import sys
if sys.hexversion >=  0x3000000:
  from io import StringIO
else: