dceoy

#!/usr/bin/env bash
#
# https://github.com/dceoy/ansible-dev/blob/master/roles/python/files/install_pyenv.sh

set -uex

PYENV_DIR="${HOME}/.pyenv"
PYENV="${PYENV_DIR}/bin/pyenv"
[[ ${#} -ge 1 ]] && PY_MAJOR_VER="${1}" || PY_MAJOR_VER=3

dceoy

#!/usr/bin/env bash
#
# Usage:  ./install_bio_stack.sh <dest dir path>

set -uex
PREFIX_DIR=$(realpath "${1}")
BIN_DIR="${PREFIX_DIR}/bin"
SRC_DIR="${PREFIX_DIR}/src"

mkdir -p "${SRC_DIR}" "${BIN_DIR}"

dceoy

#!/usr/bin/env python

import subprocess


def run_and_parse_subprocess(**popen_args):
    with subprocess.Popen(**popen_args) as p:
        for line in p.stdout:
            yield line.decode('utf-8')
        if p.poll() == 0:

dceoy

#!/usr/bin/env bash
#
# Usage:  ./install_cudnn.sh <tar file>

set -ex

[[ -n "${1}" ]] \
  && tar -xzvf ${1} -C /tmp \
  && cp /tmp/cuda/include/cudnn.h /usr/local/cuda/include \
  && cp /tmp/cuda/lib64/libcudnn* /usr/local/cuda/lib64 \

dceoy

#!/usr/bin/env python

import numpy as np
from scipy import stats


class HotellingsT2(object):
    def __init__(self, alpha):
        self.anomaly_score_threshold = stats.chi2.ppf(q=(1 - alpha), df=1)

dceoy

#!/usr/bin/env Rscript

if(length(argv <- commandArgs(trailingOnly = TRUE)) > 0) {
  install.packages(pkgs = argv,
                   repos = c(CRAN = 'https://cran.rstudio.com/'),
                   dependencies = TRUE)
} else {
  message('Nothig to do.')
}

dceoy

defaults write com.apple.desktopservices DSDontWriteNetworkStores True

dceoy

---
version: '3'

services:
  hugo:
    container_name: hugo
    image: dceoy/hugo:latest
    user: ${UID}:${GID}
    ports:
      - 1313:1313

dceoy

#!/usr/bin/env bash
#
# Usage:
#   ./download_pkg.sh \
#     --py-pkg ./py_requirements.txt \
#     --r-pkg ./r_requirements.txt \
#     --py-dir ./src/py \
#     --r-dir ./src/r
#
# Options:

dceoy

#!/usr/bin/env python

import io
import os
import pandas as pd


def read_vcf(path):
    with open(path, 'r') as f:
        lines = [l for l in f if not l.startswith('##')]