alimuldal

#!/usr/bin/env python

import argparse
import subprocess
import re
import os

TYPECODES = ['\-', 'r', 'd', 'b', 'l', 'p', 's', 'w', 'v']
DESCRIPTIONS = [
    'unknown type',

alimuldal

def unique_rows(a, **kwargs):

    rowtype = np.dtype((np.void, a.dtype.itemsize * a.shape[1]))
    b = np.ascontiguousarray(a).view(rowtype)
    return_index = kwargs.pop('return_index', False)
    out = np.unique(b, return_index=True, **kwargs)
    idx = out[1]
    uvals = a[idx]
    if (not return_index) and (len(out) == 2):

alimuldal

#!/usr/bin/env python
import numpy
from numpy.distutils.system_info import get_info
import sys
import timeit

print("version: %s" % numpy.__version__)
print("maxint:  %i\n" % sys.maxsize)

info = get_info('blas_opt')

alimuldal

# Copyright 2014 Alistair Muldal <alistair.muldal@pharm.ox.ac.uk>

import numpy as np
import igraph
from itertools import izip, combinations, product


def bansal_shuffle(G, target_gcc, tol=1E-3, maxiter=None, inplace=True,
                   require_connected=False, seed=None, verbose=False):
    r"""

alimuldal

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_nemenyi(groups, to_compare=None, alpha=0.05, method='tukey'):
    """

alimuldal

import numpy as np
from scipy import stats
from itertools import combinations
from statsmodels.stats.multitest import multipletests
from statsmodels.stats.libqsturng import psturng
import warnings


def kw_dunn(groups, to_compare=None, alpha=0.05, method='bonf'):
    """

alimuldal

from OpenGL import GL as gl
from OpenGL import GLUT as glut
from OpenGL.arrays import vbo
import numpy as np
from scipy.misc import lena

class TextureQuad2D(object):

    def __init__(self, texdata, rect=(-1., -1., 1., 1.)):