def sample = ['Groovy', 'Gradle', 'Grails', 'Spock'] as String[]
def result = sample.stream() // Use stream() on array objects
.filter { s -> s.startsWith('Gr') }
.map { s -> s.toUpperCase() }
.toList() // toList() added to Stream by Groovy
[on the client] add a local /etc/[pulse/]default.pa containing:
load-module module-tunnel-sink sink_name=rpi_tunnel server=tcp:192.168.2.13:4713 sink=bcm1
If you don't put a sink_name in, pulseaudio won't start. The sink refers to the sink name on the [server] side [determined via: pactl list | grep -C5 Sink | grep 'Name:']
Hi everyone, I am trying to connect a drone's camera using rstp and use YOLO for object recognition. I have been trying to find out what files and lines of code to change in order for me to achieve my goal, I have tried changing, the art...
Stream<String> a = Stream.of("one", "two");
Stream<String> b = Stream.of("three", "four");
Stream.concat(a, b);
or
Stream.of(a, b, c)
.reduce(Stream::concat)
.orElseGet(Stream::empty);
or
Stream.of(a, b, c).flatMap(s -> s);
G. Krempl, and V. Hofer. Proceedings of the Symposium Learning, Knowledge, Adaptation (LWA 2011) of the GI Special Interest Groups KDML, IR and WM., page 65--72. (September 2011)
G. Krempl, I. Zliobaite, Y. Wang, and G. Forman (Eds.) Online, Magdeburg University, (2013)Workshop at the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECMLPKDD 2013..
J. Lin, E. Keogh, S. Lonardi, and B. Chiu. Proceedings of the 8th ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, page 2--11. New York, NY, USA, ACM, (2003)
R. Akbarinia, and F. Masseglia. Machine Learning and Knowledge Discovery in Databases, volume 8188 of Lecture Notes in Computer Science, Springer Berlin Heidelberg, (2013)
F. Morstatter, J. Pfeffer, H. Liu, and K. Carley. Proceedings of the Seventh International AAAI Conference on Weblogs and Social Media, page 400--408. The AAAI Press, (2013)
S. Papadimitriou, J. Sun, and C. Faloutsos. Proceedings of the 31st international conference on Very large data bases, page 697--708. VLDB Endowment, (2005)