nigma

#!/usr/bin/env python
from __future__ import with_statement # needed for python 2.5
from fabric.api import *
from fabric.contrib.console import confirm

# ================================================================
# NOTE: 
#    using this fabfile expects that you have the python utility
# fabric installed locally, ssh access to reamea.com, and your
# ssh public key associated with the account 'mboza@reamea.com'

nigma

#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
fabfile for Django
------------------
see http://morethanseven.net/2009/07/27/fabric-django-git-apache-mod_wsgi-virtualenv-and-p/

modified for fabric 0.9/1.0 by Hraban (fiëé visuëlle)
several additions, corrections and customizations, too

nigma

def queryset_to_dict(qs, key='pk'):
    """
    Given a queryset will transform it into a dictionary based on ``key``.
    """
    return dict((getattr(u, key), u) for u in qs)

def distinct(l):
    """
    Given an iterable will return a list of all distinct values.
    """

nigma

"""
Scanner: match text to generate tokens.
Adam Blinkinsop <blinks@acm.org>

First, construct a scanner with the tokens you'd like to match described as
keyword arguments, using Python-syntax regular expressions.
WARNING: Group syntax in these expressions has an undefined effect.

>>> simple = Scan(ID=r'\w+')

nigma

#!/usr/bin/env python
#-*- coding: utf-8 -*-

__author__ = 'Filip Wasilewski <en@ig.ma>'

from pywt import Wavelet, dwtn, dwt_max_level
from pywt.numerix import as_float_array

def wavedecn(data, wavelet, mode='sym', level=None):
    data = as_float_array(data)

nigma

def get_node_paths(level=1):
    """
    Lists node paths on the given level.
    Order of the paths is the same as order of nodes
    returned by `WaveletPacket2D.get_leaf_nodes`.
    """
    paths = [""]
    for i in range(level):
        paths = [
            path + name

nigma

User.objects.filter(
    pk__in=Follow.objects.filter(
        user=self.user,
        content_type=ContentType.objects.get_for_model(User)
    ).extra(select={"user_ids": "object_id::integer"}).values_list("user_ids")
)

nigma

import pywt

data = [1, 3, 4, 1, 2, 5, 3, 2]

a2, d2, d1 = pywt.wavedec(data, 'db1', level=2)


a1 = pywt.upcoef('a', a2, 'db1', level=1) + \
     pywt.upcoef('d', d2, 'db1', level=1)

nigma

#!/usr/bin/env python
# -*- coding: utf-8 -*-

import os
import webbrowser
from threading import Timer

os.environ["DJANGO_SETTINGS_MODULE"] = "webapp.settings"

import cherrypy

nigma

#-*- coding: utf-8 -*-

from __future__ import unicode_literals

import sys
import logging


logging.captureWarnings(True)