simple Rx pipeline implementation
Project description
=========
RexPython
=========
This is Reactive Extensions (Rx) for Python implementation mimicing RxJava2 API as far as it can.
It is LINQ free btw. The goal to make it hackable on the go.
Installation
============
pip install rexpython
=====
Usage
=====
import rexpython as rx
def on_subscribe(emitter):
emitter.setDisposable(ActionDisposable(lambda: sys.stdout.write("disposed")))
print ("subscribed")
for i in xrange(1, 3):
emitter.onNext(i)
time.sleep(1)
# emitter.onError(Exception("foo"))
emitter.onComplete()
frames = rx.Observable.create(lambda emitter: on_subscribe(emitter, video_url, 2))
mat_img = frames.map(featureextractor.FeatureExtractor.preprocess_image)
vect = mat_img.map(lambda img: fe.get_activations([img]))
words = vect.map(lambda vec: d.getWordsForBatch(vec, 40)) \
.flatMap(lambda wlist: rx.Observable.from_(wlist))
words = words.doOnNext(lambda w: log.info("words=%s" % w)).doOnError(lambda err: log.error("ERRRORRR %s" % err))
value = words.toList().blockingGet()
RexPython
=========
This is Reactive Extensions (Rx) for Python implementation mimicing RxJava2 API as far as it can.
It is LINQ free btw. The goal to make it hackable on the go.
Installation
============
pip install rexpython
=====
Usage
=====
import rexpython as rx
def on_subscribe(emitter):
emitter.setDisposable(ActionDisposable(lambda: sys.stdout.write("disposed")))
print ("subscribed")
for i in xrange(1, 3):
emitter.onNext(i)
time.sleep(1)
# emitter.onError(Exception("foo"))
emitter.onComplete()
frames = rx.Observable.create(lambda emitter: on_subscribe(emitter, video_url, 2))
mat_img = frames.map(featureextractor.FeatureExtractor.preprocess_image)
vect = mat_img.map(lambda img: fe.get_activations([img]))
words = vect.map(lambda vec: d.getWordsForBatch(vec, 40)) \
.flatMap(lambda wlist: rx.Observable.from_(wlist))
words = words.doOnNext(lambda w: log.info("words=%s" % w)).doOnError(lambda err: log.error("ERRRORRR %s" % err))
value = words.toList().blockingGet()
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