linnil1

FROM docker.io/nvidia/cuda:11.8.0-cudnn8-devel-ubuntu22.04
RUN apt update -y && apt install -y python3-pip
RUN pip install tensorflow torch torchvision tqdm pillow

linnil1

import time


while True:
    print(f"{time.ctime():30s}", end="")
    print("\b" * 30, end="", flush=True)
    time.sleep(10)

linnil1

import {File} from 'fetch-blob/file.js'
import {Blob} from 'buffer'
import {default: Busboy} from 'busboy'


async function readForm(req) {
  // My implementation is similar to 
  // https://github.com/cloudflare/miniflare/blob/master/packages/core/src/standards/http.ts#L302
  const data = {}
  await new Promise( (resolve) => {

linnil1

"""
Airflow Example: Build a dynamic read-mapping DAG for multiple samples

Author: linnil1

Run bowtie2(read-maper) on two samples to a reference fasta

1. Prepare data like this
```
$ ls /home/linnil1/airflow/data/

linnil1

# Replacing all UID, GID in directorary
# Requirement: python3.6
# Usage: python3 replace_uidgid.py old_etc_passwd old_etc_group new_etc_passwd new_etc_group /home --dry-run -vv
# Author: linnil1
import os
import argparse
from collections import defaultdict
import pathlib

linnil1

# Example of running aiohttp and aiocron together
#
# Packages: aiohttp==3.8.1 aiocron==1.8
# Tested python version: python:3.10.0
# Issue: aircron not working once aiohttp start
# Solution Concept: Both share the same event loop
import logging
import asyncio
import aiocron
from aiohttp import web

linnil1

import csv
import os
import shutil


def hash_id(id):
    # input 12
    # output 000/dataset_12.dat
    s = str(id)
    l = len(s)

linnil1

import asyncio
import hmac
import json
from aiohttp import web

# custom import
from datetime import datetime
from pprint import pprint

linnil1

setInterval(() => {
    if (document.querySelector(".tfny-circleGreen")) {
       console.log("click");
       document.querySelector(".tfny-circleGreen").dispatchEvent(new Event('mousedown'));
    }
}, 10);

linnil1

import os
import time


os.makedirs("data/", exist_ok=True)
hg38              = "data/GRCh38_latest_genomic"
image_fastqc      = "quay.io/biocontainers/fastqc:0.11.9--0"
image_trimmomatic = "quay.io/biocontainers/trimmomatic:0.39--hdfd78af_2"
image_hisat       = "quay.io/biocontainers/hisat2:2.2.1--he1b5a44_2"
image_samtool     = "quay.io/biocontainers/samtools:1.10--h9402c20_2"