liob

import numpy as np


def gaussian(shape, sigma=1.0, mu=0.0):
    """ create a n dimensional gaussian kernel for the given shape """
    m = np.meshgrid(*[np.linspace(-1,1,s) for s in shape])
    d = np.sqrt(np.sum([x*x for x in m], axis=0))
    g = np.exp(-( (d-mu)**2 / ( 2.0 * sigma**2 ) ) )
    return g / np.sum(g)

liob

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import numpy as np
from matplotlib import pyplot as plt
from matplotlib.transforms import blended_transform_factory


def bland_altman(x, y, axis=None, sd_offset=1.96,
                 n_format='{0:.2f}', *args, **kwargs):

liob

BRANCH = r1.7
ANDROIDSDK = /usr/lib/android-sdk
ANDROIDNDK = /usr/lib/android-ndk

OSMSRC = osmand
RESOURCESDIR = resources/rendering_styles/style-icons resources/routing resources/obf_creation resources/countries-info
REPO = https://github.com/osmandapp/Osmand.git
GIT = git
ANT = ant
NDKBUILD = $(ANDROIDNDK)/ndk-build

liob

<?php
/***********************************************
* File      :   config.php
* Project   :   Z-Push
* Descr     :   Main configuration file
*
* Created   :   01.10.2007
*
* Copyright 2007 - 2013 Zarafa Deutschland GmbH
*

liob

{
  "translatorID": "7cb70025-a888-4a29-a210-93ec52da40d5",
  "translatorType": 3,
	"label": "BibTeX key for Markdown",
	"creator": "created by liob based on the works of Peter O'Brien, Simon Kornblith and Richard Karnesky",
	"target": "bib",
	"minVersion": "2.1.9",
	"maxVersion": null,
	"priority": 200,
	"inRepository": true,