milibopp

(matplotlib)eduard@sagittaron $ tox -e py27
GLOB sdist-make: /home/eduard/dev/matplotlib/setup.py
py27 inst-nodeps: /home/eduard/dev/matplotlib/.tox/dist/matplotlib-1.4.x.zip
py27 runtests: commands[0]
WARNING:test command found but not installed in testenv
  cmd: /usr/bin/sh
  env: /home/eduard/dev/matplotlib/.tox/py27
Maybe forgot to specify a dependency?
py27 runtests: commands[1]
E....................................................................................................................................................................................................................................K...K...................EEE...........................................................................................................................................................................................K.................................................................................................................................................................................................

milibopp

def test_weak_and_lazy_loading():
    '''Test loading/saving of model references'''

    class ChainMember(Model):
        '''This is a simple infinite chain of models referencing each other.'''

        def __init__(self, number, prev_member=None, next_member=None):
            Model.__init__(self)
            self.number = number
            self.prev_member = ref(prev_member, prev_member.model_id if prev_member is not None else None)

milibopp

#! /usr/bin/env python
'''Plot the output of the planet-disk simulation.'''

from __future__ import division

import sys

from soapp.plot.voronoi import voronoi
from soapp.parser.arepo.parser import ArepoParser

milibopp

; ModuleID = 'loop_trait.rs'
target datalayout = "e-p:64:64:64-i1:8:8-i8:8:8-i16:16:16-i32:32:32-i64:64:64-f32:32:32-f64:64:64-v64:64:64-v128:128:128-a0:0:64-s0:64:64-f80:128:128-n8:16:32:64-S128"
target triple = "x86_64-unknown-linux-gnu"

%"struct.std::unstable::intrinsics::TypeId[#1]" = type { i64 }
%str_slice = type { i8*, i64 }
%"enum.std::any::Void[#1]" = type {}
%struct.SumLinearTermsKernel = type { double, double, i64 }
%"enum.std::option::Option<int>[#1]" = type { i8, [7 x i8], [1 x i64] }
%"struct.std::fmt::Argument[#1]" = type { void (%"enum.std::result::Result<(),std::io::IoError>[#1]"*, %"enum.std::any::Void[#1]"*, %"struct.std::fmt::Formatter[#1]"*)*, %"enum.std::any::Void[#1]"* }

milibopp

use std::rc::Rc;
use std::cell::{RefMut, RefCell};

struct Stuff{
    i: int,
}

fn main() {
    // Allocate ref-counted stuff
    let rcref: Rc<RefCell<Stuff>> = Rc::new(RefCell::new(Stuff{i: 1}));

milibopp

import matplotlib.pyplot as plt
import numpy as np
from matplotlib.backends.backend_pdf import PdfPages

with PdfPages('multipage.pdf') as pp:
    for i in range(0, 10):
        fig = plt.figure()
        ax1 = fig.add_subplot(211)
        ax2 = fig.add_subplot(212)
        x = np.linspace(0, 10)

milibopp

/target
/Cargo.lock

milibopp

struct Addition;
struct Multiplication;

trait Group<Op> {
    fn group_op(&self, rhs: &Self) -> Self;
    fn unital() -> Self;
    fn inverse(&self) -> Self;
}

trait AddGroup<AddOp>: Group<AddOp> {}

milibopp

with import <nixpkgs> {};

pkgs.python.pkgs.buildPythonPackage rec {
  name = "vispy-master";

  src = pkgs.fetchgit {
    url = "https://github.com/vispy/vispy";
    sha256 = "1zm0gglvzlhliicwv5rm9nv34f1ql2i5vns8ybqr78r4bcz0f6dp";
    rev = "38001b70d54a5519eb296d44a196c081fcbd7fad";
  };

milibopp

with import <nixpkgs> {};

stdenv.mkDerivation rec {
  name = "data-analysis";

  LD_LIBRARY_PATH = "${pkgs.fontconfig.lib}/lib";

  buildInputs = [
    (pkgs.python27.withPackages (packages: with packages; [
      h5py