kpsychas

#!/usr/bin/env python

import argparse

from runipy.notebook_runner import NotebookRunner
from IPython.nbformat.current import read

parser = argparse.ArgumentParser()

parser.add_argument('-n', '--notebook',

kpsychas

#!/usr/bin/env python

from abc import ABCMeta, abstractmethod, abstractproperty

def get_fromcls(cls, num):
    return cls.myinit(num)

class Abs(object):
    __metaclass__ = ABCMeta

kpsychas

close all; clear all;
t = -5*pi:1e-3:5*pi;
y1 = sin(t);
y2 = cos(t);
y3 = 0.6*y1 + 0.8*y2;
y4 = 0.8*y1 + 0.6*y2;

figure('Name','Graph','Color','w','Position',[10 30 600 400]);

set(subplot(2,1,1),'ylabel',text('string', 'Amplitude'),...

kpsychas

Working with 2 remotes

This tutorial will show how to setup a local repository for working with 2 remote repositories. The assumption is that we want to pull and push certain features to a public repository, while having a private repository for independent development, that will only merge changes from the public.

Setting up public repository

First clone the public repository and move into the project folder.

kpsychas

#!/usr/bin/env python

'''
Count number of labels in a Brain XML file
(http://www.thebrain.com/)
'''
import xml.etree.ElementTree as ET

if __name__ == '__main__':
  tree = ET.parse('MyBrain.xml')

kpsychas

import types
from functools import partial


class Resource1(object):
    def __init__(self, value, update_strategy):
        self.value = value
        self.update = types.MethodType(update_strategy, self)

class Resource2(object):

kpsychas

from collections import Counter


class A(object):
    def __init__(self, name, val):
        self.name = name
        self.val = val

    def __repr__(self):
        return 'A(val={})'.format(self.val)

kpsychas

class Spellbook:
    def cast(self, enemy):
        raise NotImplementedError


class SpellbookFire(Spellbook):
    def cast(self, enemy):
        print("I've lit the {} on fire.".format(enemy))

kpsychas

#!/usr/bin/python

"""
Display the per-commit size of the current git branch.
source: http://stackoverflow.com/questions/23907/how-can-i-graph-the-lines-of-code-history-for-git-repo
"""

import subprocess
import re
import sys

kpsychas

import matplotlib.pyplot as plt
import numpy as np


def myplot(q, t, label, color=None, mean_in_legend=False, linewidth=0.5):
    if mean_in_legend:
        mean_total_q = np.dot(t, q) / t.sum()
        plt.plot(t.cumsum(), q, color=color,
                 label='{} {:.2f}'.format(label, mean_total_q),
                 linewidth=linewidth)