lucgiffon

search_dir='.'
for entry in "$search_dir"/*; do
	# entry = la/bas/truc.zip
	filename=$(basename "$entry")
	# filename = truc.zip
	extension=$([[ "$filename" = *.* ]] && echo "${filename##*.}" || echo '')
	# extension = zip
	re_nbr='^[0-9]+$'
	if ! [[ $extension =~ $re_nbr ]] && ! [[ -z "$extension" ]] ; then
		if ! [[ -d "$extension" ]] ; then

lucgiffon

from collections import OrderedDict
import numpy as np
import matplotlib.pyplot as plt
from pprint import pprint
# data source : https://fr.wikipedia.org/wiki/Liste_de_sondages_sur_l%27%C3%A9lection_pr%C3%A9sidentielle_fran%C3%A7aise_de_2017#Avril_2017
scores_fillon = [
    19.5,
    18.5,
    21,
    19,

lucgiffon

def warn(*args, **kwargs):
    pass
import warnings
warnings.warn = warn

lucgiffon

#!/usr/bin/env python
# vim: set fileencoding=utf8 :
"""Singleton Mixin"""

class Singleton(object):
    """Singleton Mixin Class

    Inherit this class and make the subclass Singleton.

    Usage:

lucgiffon

def singleton(cls):
  """
  Simple singleton implementation.
  
  Usage:
  
  @singleton
  class A:
    pass
  

lucgiffon

def mpl_layout(rows_cols, axis=0):
  """
  Description:
  ------------
  Prepare matplotlib layout for complexe layouts.
  
  Exemple:
  --------
  If you have done 6 independant experiences with graphes but you want to show them all in one figure with 2 graphes on each row
  and 3 rows of graphes. Moreover, you want to display the graphes by lines, eg: on each row, you want 2 consecutive experiences.

lucgiffon

import warnings
    
    
def deprecated(msg=""):
    def inner(func):
        """
        This is a decorator which can be used to mark functions
        as deprecated. It will result in a warning being emitted
        when the function is used.
        

lucgiffon

git branch -m old_branch new_branch         # Rename branch locally    
git push origin :old_branch                 # Delete the old branch    
git push --set-upstream origin new_branch   # Push the new branch, set local branch to track the new remote

lucgiffon

'''
Implementation of Fastfood (Le, Sarlos, and Smola, ICML 2013).

Primarily by @esc (Valentin Haenel) and felixmaximilian
from https://github.com/scikit-learn/scikit-learn/pull/3665.

Modified by @dougalsutherland.

FHT implementation was "inspired by" https://github.com/nbarbey/fht.
'''

lucgiffon

import os
import struct
import numpy as np

"""
Loosely inspired by http://abel.ee.ucla.edu/cvxopt/_downloads/mnist.py
which is GPL licensed.
"""

def read(dataset = "training", path = "."):