nfoti

import numpy as np
from scipy.special import gammaln


class MyClass(object):
    def __init__(self, n, x):
        self.n = n
        self.x = np.abs(x)

    def fun(self):

nfoti

require 'formula'

class Vim < Formula
  homepage 'http://www.vim.org/'
  url 'ftp://ftp.vim.org/pub/vim/unix/vim-7.3.tar.bz2'
  head 'https://vim.googlecode.com/hg/'
  version '7.3.762'

  def features; %w(tiny small normal big huge) end
  def interp; %w(lua mzscheme perl python python3 tcl ruby) end

nfoti

#include <iostream>
#include <Eigen/Dense>

using namespace std;
using namespace Eigen;

int main()
{
    ArrayXXd A(2,4);

nfoti

import os.path as op

import numpy as np

import mne
from mne.datasets import sample

from mne.minimum_norm import read_inverse_operator, apply_inverse
from mne.simulation import simulate_stc, simulate_evoked

nfoti

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To claim this, I am signing this object: