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from fuel.transformers import Transformer, Filter, Mapping
import numpy
import theano
import random
def at_least_k(k, v, pad_at_begin, is_longitude):
if len(v) == 0:
v = numpy.array([41.1573 if is_longitude else -8.61612], dtype=theano.config.floatX)
if len(v) < k:
if pad_at_begin:
v = numpy.concatenate((numpy.full((k - len(v),), v[0]), v))
else:
v = numpy.concatenate((v, numpy.full((k - len(v),), v[-1])))
return v
class Select(Transformer):
def __init__(self, data_stream, sources):
super(Select, self).__init__(data_stream)
self.ids = [data_stream.sources.index(source) for source in sources]
self.sources=sources
def get_data(self, request=None):
if request is not None:
raise ValueError
data=next(self.child_epoch_iterator)
return [data[id] for id in self.ids]
def add_first_k(k, stream):
id_latitude = stream.sources.index('latitude')
id_longitude = stream.sources.index('longitude')
return Mapping(stream,
lambda data:
(numpy.array(at_least_k(k, data[id_latitude], False, False)[:k], dtype=theano.config.floatX),
numpy.array(at_least_k(k, data[id_longitude], False, True)[:k], dtype=theano.config.floatX)),
('first_k_latitude', 'first_k_longitude'))
def add_random_k(k, stream):
id_latitude = stream.sources.index('latitude')
id_longitude = stream.sources.index('longitude')
def random_k(x):
lat = at_least_k(k, x[id_latitude], True, False)
lon = at_least_k(k, x[id_latitude], True, True)
loc = random.randrange(len(lat)-k+1)
return (numpy.array(lat[loc:loc+k], dtype=theano.config.floatX),
numpy.array(lon[loc:loc+k], dtype=theano.config.floatX)),
return Mapping(stream, random_k, ('last_k_latitude', 'last_k_longitude'))
def add_last_k(k, stream):
id_latitude = stream.sources.index('latitude')
id_longitude = stream.sources.index('longitude')
return Mapping(stream,
lambda data:
(numpy.array(at_least_k(k, data[id_latitude], True, False)[-k:], dtype=theano.config.floatX),
numpy.array(at_least_k(k, data[id_longitude], True, True)[-k:], dtype=theano.config.floatX)),
('last_k_latitude', 'last_k_longitude'))
def add_destination(stream):
id_latitude = stream.sources.index('latitude')
id_longitude = stream.sources.index('longitude')
return Mapping(stream,
lambda data:
(numpy.array(at_least_k(1, data[id_latitude], True, False)[-1], dtype=theano.config.floatX),
numpy.array(at_least_k(1, data[id_longitude], True, True)[-1], dtype=theano.config.floatX)),
('destination_latitude', 'destination_longitude'))
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