def g_numpy(in_streams, out_streams):
t = StreamArray('t')
map_window(max,
dtype_float(in_streams[0]),
t,
window_size=2,
step_size=2)
print_stream(t, 't')
def coordinate(in_streams, out_streams, total, num):
x, sines, cosines, tangents = in_streams
def f(lst):
return lst[0] / lst[1]
def g(lst):
error_squared = (lst[0] - lst[1])**2
return error_squared
ratios = Stream('ratios')
errors = Stream('errors')
zip_map(f, [sines, cosines], ratios, name='sine / cosine')
zip_map(g, [ratios, tangents], errors, name='compute error')
print_stream(errors, 'error')
def g(in_streams, out_streams):
s = Stream('s')
map_element(lambda v: v * 2, in_streams[0], s)
print_stream(s, 's')
def g(in_streams, out_streams):
print_stream(in_streams[0], 'x')
def zip_everything_and_file(in_streams, out_streams):
t = Stream()
zip_stream(in_streams, out_stream=t)
print_stream(t, 'zipped')
stream_to_file(in_stream=t, filename='result.dat')
def output_followers_retweets(in_streams, out_streams):
map_element(followers_and_retweets_of_tweet, in_streams[0],
out_streams[0])
print_stream(out_streams[0], 'followers')
def output_tweet_sentiment(in_streams, out_streams):
def get_sentiment(tweet):
return sentiment_of_text(get_text(tweet))
map_element(get_sentiment, in_streams[0], out_streams[0])
print_stream(out_streams[0], 'sentiment')
def r(in_streams, out_streams):
t = Stream('t')
map_element(lambda v: v * 3, in_streams[0], t)
print_stream(t, 't')