oxtopus

from nupic.frameworks.opf.clamodel import CLAModel
params = \
    {'clParams': {'alpha': 0.0001,
                  'clVerbosity': 0,
                  'regionName': 'CLAClassifierRegion',
                  'steps': '1,5'},
     'inferenceType': 'TemporalMultiStep',
     'sensorParams': {'encoders': {'consumption': {'clipInput': True,
                                                   'fieldname': u'consumption',
                                                   'n': 100,

oxtopus

import types
import web


urls = []


def GET(route):
  def decorate(fn):
    clsName = '%s_%s' % (fn.__name__, 'GET')

oxtopus

>>> dictify = lambda t:dict(zip(*[iter(t)]*2))
>>> dictify(('a', 'A', 'c', 'C', 'b', 'B'))
{'a': 'A', 'c': 'C', 'b': 'B'}
>>> 
>>> tuplify = lambda d:tuple(chain(*d.iteritems()))
>>> tuplify({'a': 'A', 'c': 'C', 'b': 'B'})
('a', 'A', 'c', 'C', 'b', 'B')
>>> 
>>> assert (lambda d:dictify(tuplify(d))==d)({'a': 'A', 'c': 'C', 'b': 'B'})
>>> assert (lambda t:tuplify(dictify(t))==t)(('a', 'A', 'c', 'C', 'b', 'B'))

oxtopus

>>> from operator import itemgetter
>>> iterable=[('foo', 'bar', 'baz'), ('apple', 'banana', 'orange')]
>>> [i[1] for i in foo]
['bar', 'banana']
>>> map(itemgetter(1),foo)
['bar', 'banana']

oxtopus

>>> (lambda s: ['a', s, 'c'])('b')
['a', 'b', 'c']
>>> 'a %s c' % 'b'
'a b c'