evilkost

import logging

logging.basicConfig(
    level=logging.INFO,
    format= '[%(asctime)s] {%(pathname)s:%(lineno)d} %(levelname)s - %(message)s',
    datefmt='%H:%M:%S'
)

log = logging.getLogger(__name__)
log.info("Logger initiated")

evilkost

def rs(length=8):
    return ''.join([
        choice('abcdefghijklmnopqrstuvwxyz0123456789'
               + 'abcdefghijklmnopqrstuvwxyz'.upper())
        for _ in range(length)
    ])

evilkost

#!/bin/bash
#
# Watch current directory (recursively) for file changes, and execute
# a command when a file or directory is created, modified or deleted.
#
# Written by: Senko Rasic <senko.rasic@dobarkod.hr>
#
# Requires Linux, bash and inotifywait (from inotify-tools package).
#
# To avoid executing the command multiple times when a sequence of

evilkost

OBS sign cli keys

-r : rpmsign mode

-s : sign mode

-C : create cert mode

evilkost

Usage

default port: 5617

protocol: TCP binary ((

connect with local port [1..1024]

evilkost

#Copr Api v2

Here I propose a second version of the Copr Api.
Main reasons: to make api more RESTful-like and uniform.
Features:

• each entity should be represented by resource
• ... and grouped in collections (is entity have parent or owner)
• more clear URL schema

evilkost

import pandas as pd
from functools import partial
from collections import Iterable

STORE_DIR = "preprocessed"

def do_df(filename, sep=" ", new_name=None, do_transpose=False, plugin_func=None):
    df = pd.read_table(filename, sep=sep, index_col=0)
    if do_transpose:
        df = df.T

evilkost

assay = read.csv("es_ass.csv", header=TRUE, sep=" ", row.name=1)
pheno = read.csv("es_pheno.csv", header=TRUE, sep=" ", row.name=1)
source('~/res/mixgene_workdir/data/R/ranking.Methods.r')
response = pheno['User_class']
restr_svmrfe_best10 = RestrictedSVMRFE(t(assay), response , best=10)

evilkost

# require pandas 0.13+
import pandas as pd


def read_one(prefix, filename, alg):
    return pd.read_csv(prefix + "Mona_Lisa.bmp.LS.csv", sep="\t", index_col=0, header=None, names=['Evals', 'Error'])

##### CSV format:
# separator: \t
# no header

evilkost

from tornado.ioloop import IOLoop
class CallbackDispatcher(object):
    def __init__(self, generator):
        self.ioloop = IOLoop.instance()
        self.g = generator
        try:
            self.call(self.g.next())
        except StopIteration:
            pass