mprymek

// US klavesnice s ceskymi pismeny
//
// Uz nikdy trapeni s vimem, ceskymi znaky a nekonecnym prepinanim klavesnic ;)
// Idealni pro klavesnice s us popisem.
//
// Az na male vyjimky kompletne stejna klavesnice jako standardni us:
//
// rada 2-0 obsahuje ceske znaky stejne jako na cz klavesnici
//          s shiftem specialni znaky jako na us klavesnici
//          s pravym altem cisla

mprymek

#! py

import os.path

def run():
  files = {}
  pillar_root = __opts__['pillar_roots'][__env__][0]
  priv_root = '%s/_priv/%s'%(pillar_root,__opts__['id'])
  for dirname, dirnames, fnames in os.walk(priv_root):
    for fname in fnames:

mprymek

defmodule Exlog do
  defmacro __using__ _opts do
    quote do
      import Exlog
    end
  end

  def new do
    {:ok,e} = :erlog.new
    e

mprymek

# I have an "mtree" file which has records for every file in the filesystem: it's name, uid, git...
# from this file I make a structures like this:
# %Fact.File{flags: [:uarch, :schg], gid: 0, mode: 365, path: "/usr/sbin/sshd", sha256: <<129, 155, 30, 219, 55, 53, 33, 134, 243, 253, 172, 143, 182, 16, 16, 212, 0, 140, 249, 59, 112, 147, 206, 166, 6, 54, 21, 199, 133, 191, 209, 174>>, uid: 0}

# ... and then insert all the metadata as facts into Erlog db:

  def from_mtree_data(data,set) do
    e = Exlog.new
    e = data |> Enum.reduce(e,fn
         f,e ->

mprymek

-module(my_module).

%   Eshell V6.3  (abort with ^G)
%   1> c("my_module.erl").
%   {ok,my_module}
%   2> my_module:f().
%   Public!
%   ok
%   3> my_module:f_private().
%   ** exception error: undefined function my_module:f_private/0

mprymek

iex(5)> a = <<104, 101, 322, 322, 111>>
"heBBo"
iex(6)> b = <<104, 101, 66, 66, 111>>
"heBBo"
iex(7)> a |> inspect(binaries: :as_binaries)
"<<104, 101, 66, 66, 111>>"
iex(8)> b |> inspect(binaries: :as_binaries)
"<<104, 101, 66, 66, 111>>"
iex(9)> a = b
"heBBo"

mprymek

library(xts)

df = read.csv("Ceny_anonym.csv",sep = ";")
colnames(df) = c('phone','pmax','pmin','pmid','datetime')
df$datetime = as.POSIXct(df$datetime,format="%d.%m.%Y %H:%M")
df$dtl = as.POSIXlt(df$datetime)
df$mno = ((df$dtl$year+1900-2008)*12)+df$dtl$mon

my_norm2 = function(df,name,start) {
  idxs = which(df$phone==name)

mprymek

> someenv = new.env()
> someenv[["mujnazev1"]] = 1
> someenv[["mujnazev2"]] = 2
> ls.str(someenv)
mujnazev1 :  num 1
mujnazev2 :  num 2

> g = globalenv()
> g[["zzz"]]=5
> zzz

mprymek

# make inverse fuction for SciPy's ECDF

import numpy as np
import statsmodels as sm
import scipy as sp

num_samples = 1000
values = np.random.randn(num_samples)
ecdf = sm.distributions.ECDF(values)
ecdf_i = sp.interpolate.interp1d(ecdf.y,ecdf.x)

mprymek

###############################################################################
# Elimination of a boilerplate code using macros in Elixir.
#
# See SO question
#    http://stackoverflow.com/questions/29573944/elixir-generating-catch-all-function-calls
#
# Run with:
#
# $ elixir catchall.exs
# Fun1: handled by user code