theplatypus

prometheus.exporter.unix "node" {
    set_collectors = [
        "uname",
        "cpu",
        "cpufreq",
        "loadavg",
        "meminfo",
        "filesystem",
        "netdev",
    ]

theplatypus

# ~/.zshrc file for zsh interactive shells.
# see /usr/share/doc/zsh/examples/zshrc for examples

setopt autocd              # change directory just by typing its name
#setopt correct            # auto correct mistakes
setopt interactivecomments # allow comments in interactive mode
setopt magicequalsubst     # enable filename expansion for arguments of the form ‘anything=expression’
setopt nonomatch           # hide error message if there is no match for the pattern
setopt notify              # report the status of background jobs immediately
setopt numericglobsort     # sort filenames numerically when it makes sense

theplatypus

import sys
import time
import asyncio
import re

from functools import wraps

VERBOSITY = 1

CBLACK  = '\33[30m'

theplatypus

# If you come from bash you might have to change your $PATH.
# export PATH=$HOME/bin:/usr/local/bin:$PATH

# Path to your oh-my-zsh installation.
export ZSH="$HOME/.oh-my-zsh"

# Set name of the theme to load --- if set to "random", it will
# load a random theme each time oh-my-zsh is loaded, in which case,
# to know which specific one was loaded, run: echo $RANDOM_THEME
# See https://github.com/ohmyzsh/ohmyzsh/wiki/Themes

theplatypus

#!/bin/env python

import binascii
import argparse

def head_dump(path, head = None):
    with open(path, "rb") as fh:
        buf = fh.read(head) if head else fh.read(head)
        print(binascii.hexlify(buf, b' '))

theplatypus

import asyncio

SOCKET_BUFFER_SIZE = 64
QUEUE_SIZE = 1500

WARNING = '\033[93m' 
STD = '\033[0m'

def print_y(msg):
	print(f"{WARNING}{msg}{STD}")

theplatypus

from itertools import cycle

import numpy as np
import pandas as pd

from sklearn.linear_model import lasso_path, enet_path, lars_path, LassoLarsIC, LinearRegression
from sklearn.preprocessing import StandardScaler

from sklearn.pipeline import make_pipeline

theplatypus

#!/bin/bash

#### Default Configuration

CONCURRENCY=4
REQUESTS=10
TARGET="http://127.0.0.1/api_endpoint"

REQ_ARG="?[1-$REQUESTS]"

theplatypus

#!/bin/bash 

pdflatex --jobname=figure-1 main.tex 
pdflatex --jobname=plot-1 main.tex 

theplatypus

from math import factorial, ceil

def fact(n):
    """
    n!
    <just as a reminder, we do prefer using C implementation of math library therefore>
    """
    if n == 0 :
        return 1
    else :