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FFmpeg-4.2.2
Introduction to FFmpeg
FFmpeg is a solution to record,
convert and stream audio and video. It is a very fast video and
audio converter and it can also acquire from a live audio/video
source. Designed to be intuitive, the command-line interface
(ffmpeg) tries to
figure out all the parameters, when possible. FFmpeg can also convert from any sample rate
to any other, and resize video on the fly with a high quality
polyphase filter. FFmpeg can use a
Video4Linux compatible video source and any Open Sound System audio
source.
This package is known to build and work properly using an LFS-9.1
platform.
Package Information
-
Download (HTTP): http://ffmpeg.org/releases/ffmpeg-4.2.2.tar.xz
-
Download MD5 sum: 348956fc2faa57a2f79bbb84ded9fbc3
-
Download size: 8.7 MB
-
Estimated disk space required: 160 MB (add 3.5 GB for the
FATE suite/tests, add 655 MB for docs)
-
Estimated build time: 1.4 SBU (using parallelism=4; add 5.9
SBU (with THREADS=4) to run the FATE suite after sample files
are downloaded; add 0.5 SBU for docs)
FFmpeg Dependencies
Recommended
libass-0.14.0, fdk-aac-2.0.1, FreeType-2.10.1, LAME-3.100, libtheora-1.1.1,
libvorbis-1.3.6, libvpx-1.8.2, Opus-1.3.1,
x264-20200218, x265-3.3, and yasm-1.3.0
Recommended for desktop use
alsa-lib-1.2.2, libva-2.6.1,
libvdpau-1.3 (with the corresponding driver
package), and SDL2-2.0.12,
Optional
Fontconfig-2.13.1, frei0r-plugins-1.7.0, libcdio-2.1.0 (to
identify and play CDs), libwebp-1.1.0,
opencv-4.2.0, OpenJPEG-2.3.1, GnuTLS-3.6.13,
PulseAudio-13.0, Speex-1.2.0, texlive-20190410 (or install-tl-unx) for PDF and PS documentation,
v4l-utils-1.18.0, XviD-1.3.7, X Window
System, Flite, GSM, libaacplus, libbluray,
libcaca, libcelt, libdc1394,
libdca,
libiec61883,
libilbc, libmodplug,
libnut (Git checkout),
librtmp,
libssh,
OpenAL,
OpenCore AMR,
Schroedinger,
TwoLAME,
vo-aaenc,
vo-amrwbenc,
and ZVBI
User Notes: http://wiki.linuxfromscratch.org/blfs/wiki/ffmpeg
Installation of FFmpeg
Install FFmpeg by running the
following commands:
sed -i 's/-lflite"/-lflite -lasound"/' configure &&
./configure --prefix=/usr \
--enable-gpl \
--enable-version3 \
--enable-nonfree \
--disable-static \
--enable-shared \
--disable-debug \
--enable-avresample \
--enable-libass \
--enable-libfdk-aac \
--enable-libfreetype \
--enable-libmp3lame \
--enable-libopus \
--enable-libtheora \
--enable-libvorbis \
--enable-libvpx \
--enable-libx264 \
--enable-libx265 \
--docdir=/usr/share/doc/ffmpeg-4.2.2 &&
make &&
gcc tools/qt-faststart.c -o tools/qt-faststart
HTML documentation was built in the previous step. If you have
texlive-20190410 installed and wish
to build PDF and Postscript versions of the documentation, issue
the following commands:
pushd doc &&
for DOCNAME in `basename -s .html *.html`
do
texi2pdf -b $DOCNAME.texi &&
texi2dvi -b $DOCNAME.texi &&
dvips -o $DOCNAME.ps \
$DOCNAME.dvi
done &&
popd &&
unset DOCNAME
If you have Doxygen-1.8.17 installed and you wish to build
(if --disable-doc was used) or rebuild the html documentation,
issue:
doxygen doc/Doxyfile
The fate-suite tests include comparisons with installed files, and
should not be run before the package is installed. Therefore, if
you desire to run them, instructions are given further below.
Now, as the root
user:
make install &&
install -v -m755 tools/qt-faststart /usr/bin &&
install -v -m755 -d /usr/share/doc/ffmpeg-4.2.2 &&
install -v -m644 doc/*.txt /usr/share/doc/ffmpeg-4.2.2
If the PDF and Postscript documentation was built, issue the
following commands, as the root
user, to install them:
install -v -m644 doc/*.pdf /usr/share/doc/ffmpeg-4.2.2 &&
install -v -m644 doc/*.ps /usr/share/doc/ffmpeg-4.2.2
If you used doxygen
to manually create the API documentation, install it by issuing the
following commands as the root
user:
install -v -m755 -d /usr/share/doc/ffmpeg-4.2.2/api &&
cp -vr doc/doxy/html/* /usr/share/doc/ffmpeg-4.2.2/api &&
find /usr/share/doc/ffmpeg-4.2.2/api -type f -exec chmod -c 0644 \{} \; &&
find /usr/share/doc/ffmpeg-4.2.2/api -type d -exec chmod -c 0755 \{} \;
To properly test the installation you must have rsync-3.1.3
installed and follow the instructions for the FFmpeg Automated Testing
Environment (FATE). First, about 1 GB of sample files used to
run FATE are downloaded with the command:
make fate-rsync SAMPLES=fate-suite/
The fate-suite
directory is created
and the files are downloaded there. That command actually runs an
rsync command, to obtain the sample files. You may want to compress
and keep this directory for testing again, in another system, or
when a new version of ffmpeg is launched. Then, you unpack the
sample files in the source directory, and run, again, the
make fate-rsync ...
command above, to sync with the repository. Now, the download size
and time are drastically reduced. Estimated values in "Package
Information" do not include the download SBU. Some samples may have
been removed, in the new version, so, in order to be sure local and
server fate samples are identical, when you use previously saved
samples, run the following command:
rsync -vrltLW --delete --timeout=60 --contimeout=60 \
rsync://fate-suite.ffmpeg.org/fate-suite/ fate-suite/
Next, FATE is executed, with the commands (you obtain a number of
tests larger than 3700):
make fate THREADS=N
SAMPLES=fate-suite/ | tee ../fate.log &&
grep ^TEST ../fate.log | wc -l
where N
is an integer,
N
≤ number of cores in
the system.
Command Explanations
sed -i ... configure:
This command adds the ALSA library
to the Flite LDFLAGS
variable and enables the discovery of
Flite.
find ... ;: Fix
permissions of documentation files and directories.
--enable-libfreetype
:
Enables Freetype support.
--enable-gpl
: Enables the
use of GPL code and permits support for postprocessing, swscale and
many other features.
--enable-version3
: Enables
the use of (L)GPL version 3 code.
--enable-nonfree
: Enables
the use of nonfree code. Note that the resulting libraries and
binaries will be unredistributable.
--disable-static
: This
switch prevents installation of static versions of the libraries.
--enable-shared
: Enables
building shared libraries, otherwise only static libraries are
built and installed.
--disable-debug
: Disables
building debugging symbols into the programs and libraries.
--enable-avresample
:
Enables Transcode-1.1.7 to be compiled.
--enable-libass
: Enables
ASS/SSA subtitle format rendering via libass
.
--enable-libfdk-aac
:
Enables currently the highest-quality AAC audio encoding via
libfdk-aac
.
--enable-libmp3lame
:
Enables MP3 audio encoding via libmp3lame
.
--enable-libvorbis
--enable-libtheora
: Enables Theora video encoding via
libvorbis
and libtheora
.
--enable-libvorbis
--enable-libvpx
: Enables WebM encoding via libvorbis
and libvpx
.
--enable-libx264
: Enables
high-quality H.264/MPEG-4 AVC encoding via libx264
.
--enable-libx265
: Enables
high-quality H.265/HEVC encoding via libx265
.
--enable-openssl
or --enable-gnutls
: Enables HTTPS protocol for network
streams.
--disable-doc
: Disables building html
documentation. This is only needed if Doxygen-1.8.17
is installed and you do not want to build the html documentation.
--enable-libpulse
: Enables support for
Pulseaudio for audio output.
gcc tools/qt-faststart.c -o
tools/qt-faststart: This builds the qt-faststart program which can
modify QuickTime formatted movies (.mov
or .mp4
) so
that the header information is located at the beginning of the file
instead of the end. This allows the movie file to begin playing
before the entire file has been downloaded.
Note
Support for most of the dependency packages requires using
options passed to the configure script. View the
output from ./configure
--help for complete information about enabling
dependency packages.
Configuring FFmpeg
Config Files
/etc/ffserver.conf
and ~/.ffmpeg/ffserver-config
You'll find a sample ffserver configuration file at
doc/ffserver.conf
in the source
tree.
Contents
Installed Programs:
ffmpeg, ffplay, ffprobe, ffserver, and
qt-faststart
Installed Libraries:
libavcodec.so, libavdevice.so,
libavfilter.so, libavformat.so, libavutil.so, libpostproc.so,
libswresample.so, and libswscale.so
Installed Directories:
/usr/include/libav{codec,device,filter,format,util},
/usr/include/libpostproc, /usr/include/libsw{resample,scale},
/usr/share/doc/ffmpeg-4.2.2, and /usr/share/ffmpeg
Short Descriptions
|
ffmpeg
|
is a command-line tool to convert video files, network
streams and input from a TV card to several video
formats.
|
|
ffplay
|
is a very simple and portable media player using the
ffmpeg libraries and the
SDL library.
|
|
ffprobe
|
gathers information from multimedia streams and prints it
in a human and machine-readable fashion.
|
|
ffserver
|
is a streaming server for everything that ffmpeg could use as
input (files, streams, TV card input, webcam, etc).
|
|
qt-faststart
|
moves the index file to the front of quicktime (mov/mp4)
videos.
|
|
libavcodec.so
|
is a library containing the FFmpeg codecs (both encoding and
decoding).
|
|
libavdevice.so
|
is the FFmpeg device
handling library.
|
|
libavfilter.so
|
is a library of filters that can alter video or audio
between the decoder and the encoder (or output).
|
|
libavformat.so
|
is a library containing the file formats handling (mux
and demux code for several formats) used by ffplay as well as
allowing the generation of audio or video streams.
|
|
libavutil.so
|
is the FFmpeg utility
library.
|
|
libpostproc.so
|
is the FFmpeg post
processing library.
|
|
libswresample.so
|
is the FFmpeg audio
rescaling library, it contains functions for converting
audio sample formats.
|
|
libswscale.so
|
is the FFmpeg image
rescaling library.
|
Last updated on 2020-02-18 16:50:03 -0600


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Fast multi-generational pedigree inference from incomplete data on hundreds of SNPs, including parentage assignment and sibship clustering. See citation('sequoia') for more information.
| Version: | 1.1.1 |
| Imports: | plyr (≥ 1.8.0), stats, utils |
| Suggests: | xlsx, knitr, rmarkdown |
| Published: | 2018-08-13 |
| Author: | Jisca Huisman [aut, cre] |
| Maintainer: | Jisca Huisman <jisca.huisman at gmail.com> |
| License: | GPL-2 |
| NeedsCompilation: | yes |
| Citation: | sequoia citation info |
| CRAN checks: | sequoia results |
| Reference manual: | sequoia.pdf |
| Vignettes: |
Using sequoia |
| Package source: | sequoia_1.1.1.tar.gz |
| Windows binaries: | r-devel: sequoia_1.1.1.zip, r-release: sequoia_1.1.1.zip, r-oldrel: sequoia_1.1.1.zip |
| OS X binaries: | r-release: sequoia_1.1.1.tgz, r-oldrel: sequoia_1.1.1.tgz |
| Old sources: | sequoia archive |
Please use the canonical form https://CRAN.R-project.org/package=sequoia to link to this page.


| 1 |
Kang_2018 |
Protection afforded by respirators when performing endotracheal intubation using a direct laryngoscope, GlideScope®, and i-gel® device: A randomized trial |
Kang, Hyunggoo; Lee, Yoonje; Lee, Sanghyun; Song, Yeongtak; Lim, Tae Ho; Oh, Jaehoon; Lee, Juncheol; Shin, Hyungoo |
2018 |
2018-04-19 |
COMM-USE |
N |
PMC5909605 |
29672533.0 |
10.1371/journal.pone.0195745 |
d2c3tavy |
0.676760 |
Kapoor_2020, Polverino_2017, Wang_2018, Oommen_2016 |
Lim_T_2017, Shin_2017, Wang_2012 |
| 2 |
Hwang_2020 |
N95 filtering facepiece respirators do not reliably afford respiratory protection during chest compression: A simulation study |
Hwang, Sung Yeon; Yoon, Hee; Yoon, Aerin; Kim, Taerim; Lee, Guntak; Jung, Kwang Yul; Park, Joo Hyun; Shin, Tae Gun; Cha, Won Chul; Sim, Min Seob; Kim, Seonwoo |
2020 |
2020-01-31 |
PMC |
N |
PMC7125572 |
30955924.0 |
10.1016/j.ajem.2019.03.041 |
gh9sy7sl |
0.640485 |
Polverino_2017, Kapoor_2020, Yao_Y_2020, Zheng_2020 |
Shin_2017, Lim_T_2017, Patel_2016, Cummings_2007 |
| 3 |
Lam_S_2016 |
Evaluation of the user seal check on gross leakage detection of 3 different designs of N95 filtering facepiece respirators |
Lam, Simon C.; Lui, Andrew K.F.; Lee, Linda Y.K.; Lee, Joseph K.L.; Wong, K.F.; Lee, Cathy N.Y. |
2016 |
2016-05-01 |
PMC |
N |
PMC7115279 |
26831273.0 |
10.1016/j.ajic.2015.12.013 |
mc0xa5om |
0.636144 |
Polverino_2017, Zheng_2020, Rusoke-Dierich_2018, Kapoor_2020, Knapp_2008 |
Lam_S_2011, Derrick_2005, Patel_2016, Benson_2013 |
| 4 |
Gao_S_2016 |
Performance of Facepiece Respirators and Surgical Masks Against Surgical Smoke: Simulated Workplace Protection Factor Study |
Gao, Shuang; Koehler, Richard H.; Yermakov, Michael; Grinshpun, Sergey A. |
2016 |
2016-02-28 |
PMC |
N |
PMC7109898 |
26929204.0 |
10.1093/annhyg/mew006 |
59eapeu6 |
0.596166 |
Polverino_2017, Kapoor_2020, Zheng_2009, Kenah_2012, Zheng_2020 |
Benson_2013, Patel_2016, Shin_2017 |
| 5 |
Lim_T_2017 |
Endotracheal Intubation Using a Direct Laryngoscope and the Protective Performances of Respirators: A Randomized Trial |
Lim, Taeho; Lee, Sanghyun; Oh, Jaehoon; Kang, Hyunggoo; Ahn, Chiwon; Song, Yeongtak; Lee, Juncheol; Shin, Hyungoo |
2017 |
2017-04-27 |
COMM-USE |
N |
PMC5425829 |
28536701.0 |
10.1155/2017/7565706 |
c4o8s6yv |
0.594710 |
Kapoor_2020, Largo_2016, Choudhury_2011, Abou-Hamdan_2018, David_2013 |
Kang_2018, Shin_2017, Bressan_2013 |
| 6 |
Oberg_2008 |
Surgical mask filter and fit performance |
Oberg, Tara; Brosseau, Lisa M. |
2008 |
2008-05-31 |
PMC |
N |
PMC7115281 |
18455048.0 |
10.1016/j.ajic.2007.07.008 |
bmmdygbs |
0.592034 |
Polverino_2017, Zheng_2020, Kapoor_2020, Knapp_2008, Bocharov_2018 |
Patel_2016, Benson_2013, CHECCHI_2005, Greco_2008 |
| 7 |
Kim_H_2019 |
Comparison of fit factors among healthcare providers working in the Emergency Department Center before and after training with three types of N95 and higher filter respirators |
Kim, Hongjung; Lee, Juncheol; Lee, Sanghyun; Oh, Jaehoon; Kang, Boseung; Lim, Tae Ho; Kang, Hyunggoo |
2019 |
2019-02-08 |
None |
N |
PMC6380834 |
30732139.0 |
10.1097/md.0000000000014250 |
dwwsr9bb |
0.584073 |
Knapp_2008, Kapoor_2020, Lohr_2018, Polverino_2017, Choudhury_2011 |
Shin_2017, Tong_2015, Lim_T_2017 |
| 8 |
Li_Y_2005 |
Effects of wearing N95 and surgical facemasks on heart rate, thermal stress and subjective sensations |
Li, Y.; Tokura, H.; Guo, Y.P.; Wong, A.S.W.; Wong, T.; Chung, J.; Newton, E. |
2005 |
2005-05-26 |
PMC |
N |
PMC7087880 |
15918037.0 |
10.1007/s00420-004-0584-4 |
uhkff67h |
0.577502 |
Dawes_2007, Trampuz_2004, Rebmann_2013, Shi_Z_2018 |
Gao_S_2016, Kim_J_2016 |
| 9 |
Hines_2019 |
User acceptance of reusable respirators in health care |
Hines, Stella E.; Brown, Clayton; Oliver, Marc; Gucer, Patricia; Frisch, Melissa; Hogan, Regina; Roth, Tracy; Chang, James; McDiarmid, Melissa |
2019 |
2019-06-30 |
PMC |
N |
PMC7115316 |
30638674.0 |
10.1016/j.ajic.2018.11.021 |
edspdu5x |
0.560040 |
Dawes_2007, Knapp_2008, Amirov_2007, Mack_2007 |
Baig_2010, Shin_2017, Benson_2013 |
| 10 |
Mardimae_2006 |
Modified N95 Mask Delivers High Inspired Oxygen Concentrations While Effectively Filtering Aerosolized Microparticles |
Mardimae, Alexandra; Slessarev, Marat; Han, Jay; Sasano, Hiroshi; Sasano, Nobuko; Azami, Takafumi; Fedorko, Ludwik; Savage, Tim; Fowler, Rob; Fisher, Joseph A. |
2006 |
2006-10-31 |
PMC |
N |
PMC7118976 |
16997675.0 |
10.1016/j.annemergmed.2006.06.039 |
tev33cjh |
0.555994 |
Hui_D_2006, Hui_D_2009, Hui_D_2015, Ip_M_2007 |
Hui_D_2009, Hui_D_2009, Hui_D_2007 |
| 11 |
Sander_2005 |
Influenza treatment with neuraminidase inhibitors: Cost-effectiveness and cost-utility in healthy adults in the United Kingdom |
Sander, Beate; Gyldmark, Marlene; Hayden, Frederick G.; Morris, James; Mueller, Elvira; Bergemann, Rito |
2005 |
2005-09-17 |
PMC |
N |
PMC7087894 |
15875227.0 |
10.1007/s10198-005-0297-y |
prf8bm3r |
0.549256 |
Amirov_2007, Jeffery_2013, Laurens_2019, Griffiths_2010 |
Vecoso_2019, Lee_F_2011, Hayden_1985, Ceylan_2013 |
| 12 |
Derrick_2005 |
Predictive value of the user seal check in determining half-face respirator fit |
Derrick, J.L.; Chan, Y.F.; Gomersall, C.D.; Lui, S.F. |
2005 |
2005-02-28 |
PMC |
N |
PMC7132529 |
15620450.0 |
10.1016/j.jhin.2004.09.009 |
2841vq8w |
0.548125 |
Polverino_2017, Murray_2017, Zheng_2020, Rodier_2007, Stenseth_2008 |
Lam_S_2011, Lam_S_2016, Benson_2013 |
| 13 |
Davies_2013 |
Testing the Efficacy of Homemade Masks: Would They Protect in an Influenza Pandemic? |
Davies, Anna; Thompson, Katy-Anne; Giri, Karthika; Kafatos, George; Walker, Jimmy; Bennett, Allan |
2013 |
2013-05-22 |
PMC |
N |
PMC7108646 |
24229526.0 |
10.1017/dmp.2013.43 |
w2c01295 |
0.541334 |
Polverino_2017, Stenseth_2008, Mack_2007, Zheng_2020, Mooney_2013 |
MacIntyre_2009, Bekhof_2013, van_der_Sande_2008 |
| 14 |
Park_2020 |
Are loose-fitting powered air-purifying respirators safe during chest compression? A simulation study |
Park, Soo Hyun; Hwang, Sung Yeon; Lee, Guntak; Park, Jong Eun; Kim, Taerim; Shin, Tae Gun; Sim, Min Seob; Jo, Ik Joon; Kim, Seonwoo; Yoon, Hee |
2020 |
2020-03-31 |
PMC |
N |
|
|
10.1016/j.ajem.2020.03.054 |
baat9464 |
0.527606 |
Kapoor_2020, Lipsitch_2014, Polverino_2017, Lohr_2018, Rusoke-Dierich_2018 |
Shin_2017, Benson_2013, Loibner_2019, Bressan_2013 |
| 15 |
Wen_Z_2012 |
Assessment the protection performance of different level personal respiratory protection masks against viral aerosol |
Wen, ZhanBo; Yu, Long; Yang, WenHui; Hu, LingFei; Li, Na; Wang, Jie; Li, JinSong; Lu, JianChun; Dong, XiaoKai; Yin, Zhe; Zhang, Ke |
2012 |
2012-12-23 |
PMC |
N |
PMC7087618 |
|
10.1007/s10453-012-9286-7 |
btj4ckkz |
0.524260 |
Polverino_2017, Roberge_2008, Goetz_2010, Roman_1985 |
Wen_Z_2010, Zhou_2018, Bing-Yuan_2018, Patrucco_2019 |
| 16 |
Mukerji_2017 |
Cost-effectiveness analysis of N95 respirators and medical masks to protect healthcare workers in China from respiratory infections |
Mukerji, Shohini; MacIntyre, C. Raina; Seale, Holly; Wang, Quanyi; Yang, Peng; Wang, Xiaoli; Newall, Anthony T. |
2017 |
2017-07-03 |
COMM-USE |
N |
PMC5496227 |
28673259.0 |
10.1186/s12879-017-2564-9 |
573godis |
0.516356 |
Amirov_2007, Knapp_2008, Mwabu_2008, Griffiths_2010, Wei_B_2011 |
MacIntyre_2017, Vecoso_2019, Offeddu_2017 |
| 17 |
Derrick_2005 |
Protecting healthcare staff from severe acute respiratory syndrome: filtration capacity of multiple surgical masks |
Derrick, J.L.; Gomersall, C.D. |
2005 |
2005-04-30 |
PMC |
N |
PMC7114845 |
15749326.0 |
10.1016/j.jhin.2004.10.013 |
wzmfmcpt |
0.514000 |
Polverino_2017, Kapoor_2020, Stenseth_2008, Zheng_2020, Kinlay_2015 |
Gamage_2005, Bekhof_2013, Loeb_2004, Tong_2015 |
| 18 |
Rengasamy_2013 |
A Quantitative Assessment of the Total Inward Leakage of NaCl Aerosol Representing Submicron-Size Bioaerosol Through N95 Filtering Facepiece Respirators and Surgical Masks |
Rengasamy, Samy; Eimer, Benjamin C.; Szalajda, Jonathan |
2013 |
2013-11-25 |
PMC |
N |
PMC4589201 |
24275016.0 |
10.1080/15459624.2013.866715 |
ed6wdbcb |
0.509132 |
Polverino_2017, Sun_Q_2020, Uk_Lee_2004, Kim_J_2006 |
Uk_Lee_2004, Woo_M_2010 |
| 19 |
Bayham_2020 |
Impact of school closures for COVID-19 on the US health-care workforce and net mortality: a modelling study |
Bayham, Jude; Fenichel, Eli P |
2020 |
2020-04-03 |
PMC |
Y |
|
|
10.1016/s2468-2667(20)30082-7 |
517s290b |
0.499909 |
Griffiths_2010, Fielding_2014, Wei_B_2011, Coker_2007, Mack_2007 |
Bayham_2020, Folayan_2016, Jackson-Lee_2016, Churchill_1997 |
| 20 |
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PMC2779854 |
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PMC |
N |
PMC7111836 |
|
10.1016/j.tetlet.2010.08.083 |
gyw1vezs |
0.331914 |
MacDonald_2012, Yazarians_2017, Lin_Z_2012, Mlostoń_2010 |
Lin_Z_2012, Paramonova_2017, Tayade_2015, Sobenina_2018 |
| 64 |
Nishiura_2014 |
Cost-effective length and timing of school closure during an influenza pandemic depend on the severity |
Nishiura, Hiroshi; Ejima, Keisuke; Mizumoto, Kenji; Nakaoka, Shinji; Inaba, Hisashi; Imoto, Seiya; Yamaguchi, Rui; Saito, Masaya M |
2014 |
2014-01-21 |
COMM-USE |
N |
PMC3901768 |
24447310.0 |
10.1186/1742-4682-11-5 |
aj1ufof6 |
0.329450 |
Walker_2010, Cinti_2005, UNKNOWN_2010, Stenseth_2008, Mondor_2012 |
Liu_F_2014, Nishiura_2007, Kretzschmar_2020, Kim_S_2020 |
| 65 |
Viscusi_2009 |
Evaluation of the filtration performance of 21 N95 filtering face piece respirators after prolonged storage |
Viscusi, Dennis J.; Bergman, Mike; Sinkule, Edward; Shaffer, Ronald E. |
2009 |
2009-06-30 |
PMC |
N |
PMC7132679 |
19188003.0 |
10.1016/j.ajic.2008.09.021 |
6cwo8xno |
0.328233 |
Polverino_2017, Zheng_2020, Kapoor_2020, batista_2020 |
Rengasamy_2010, Kenney_2020 |
| 66 |
Mitchell_2012 |
Can homemade fit testing solutions be as effective as commercial products? |
Mitchell, Brett G.; Wells, Anne; McGregor, Alistair; McKenzie, Duncan |
2012 |
2012-12-31 |
PMC |
N |
PMC7129124 |
|
10.1071/hi12019 |
784bpdxr |
0.326939 |
Zheng_2020, Polverino_2017, Stenseth_2008, Coker_2007, Mooney_2013 |
Davies_2013, Seal_2005, Beam_2011, Benson_2013 |
| 67 |
Lee_V_2007 |
Effectiveness of Neuraminidase Inhibitors for Preventing Staff Absenteeism during Pandemic Influenza |
Lee, Vernon J.; Chen, Mark I. |
2007 |
2007-03-10 |
None |
N |
PMC2725890 |
17552099.0 |
10.3201/eid1303.060309 |
rv59i9r1 |
0.324417 |
To_K_2010, Apisarnthanarak_2007, Blendon_2008, Amirov_2007 |
Liu_X_2020, Lee_F_2011, Berry_2014, Hayden_1985 |
| 68 |
MacIntyre_2015 |
A cluster randomised trial of cloth masks compared with medical masks in healthcare workers |
MacIntyre, C Raina; Seale, Holly; Dung, Tham Chi; Hien, Nguyen Tran; Nga, Phan Thi; Chughtai, Abrar Ahmad; Rahman, Bayzidur; Dwyer, Dominic E; Wang, Quanyi |
2015 |
2015-04-22 |
NONCOMM |
N |
PMC4420971 |
25903751.0 |
10.1136/bmjopen-2014-006577 |
9pb2eqoa |
0.322936 |
Laurens_2019, Lohr_2018, Knapp_2008, Griffiths_2010, Liu_X_2014 |
MacIntyre_2017, MacIntyre_2016, Tong_2015, Alshammari_2018 |
| 69 |
Rengasamy_2004 |
Respiratory protection against bioaerosols: Literature review and research needs |
Rengasamy, Appavoo; Zhuang, Ziqing; BerryAnn, Roland |
2004 |
2004-10-31 |
PMC |
N |
PMC7118892 |
15454893.0 |
10.1016/j.ajic.2004.04.199 |
ei8ad6ci |
0.321312 |
Mack_2007, UNKNOWN_2019, Roberge_2008, Fauci_2006, Stenseth_2008 |
Bing-Yuan_2018, Gamage_2005, Kim_K_2018, Bandaly_2017 |
| 70 |
Loeb_2004 |
SARS among Critical Care Nurses, Toronto |
Loeb, Mark; McGeer, Allison; Henry, Bonnie; Ofner, Marianna; Rose, David; Hlywka, Tammy; Levie, Joanne; McQueen, Jane; Smith, Stephanie; Moss, Lorraine; Smith, Andrew; Green, Karen; Walter, Stephen D. |
2004 |
2004-02-10 |
PMC |
N |
PMC3322898 |
15030692.0 |
10.3201/eid1002.030838 |
y8di9jme |
0.320231 |
Laurens_2019, Oommen_2016, Amirov_2007, Rusoke-Dierich_2018 |
Gomersall_2006, Tong_2015, Gamage_2005 |
| 71 |
Mniszewski_2008 |
Pandemic simulation of antivirals + school closures: buying time until strain-specific vaccine is available |
Mniszewski, S. M.; Del Valle, S. Y.; Stroud, P. D.; Riese, J. M.; Sydoriak, S. J. |
2008 |
2008-04-11 |
PMC |
N |
PMC7087848 |
|
10.1007/s10588-008-9027-1 |
j0qlwmkn |
0.317154 |
Mack_2007, Apisarnthanarak_2007, To_K_2010, Stenseth_2008, Blendon_2008 |
Wu_J_2016, Wu_J_2016, Singh_2010, Falzarano_2011 |
| 72 |
Lee_B_2010 |
Simulating School Closure Strategies to Mitigate an Influenza Epidemic |
Lee, Bruce Y.; Brown, Shawn T.; Cooley, Philip; Potter, Maggie A.; Wheaton, William D.; Voorhees, Ronald E.; Stebbins, Samuel; Grefenstette, John J.; Zimmer, Shanta M.; Zimmerman, Richard; Assi, Tina-Marie; Bailey, Rachel R.; Wagener, Diane K.; Burke, Donald S. |
2010 |
2010-05-01 |
PMC |
N |
PMC2901099 |
20035236.0 |
10.1097/phh.0b013e3181ce594e |
qac68abi |
0.315685 |
Griffiths_2010, UNKNOWN_2010, Mack_2007, Amirov_2007, Stenseth_2008 |
Mniszewski_2008, Nishiura_2014, Mao_L_2011 |
| 73 |
Lubowitz_2020 |
AANA20: The 2020 Annual Meeting of the Arthroscopy Association of North America |
Lubowitz, James H.; Brand, Jefferson C.; Rossi, Michael J. |
2020 |
2020-04-30 |
PMC |
N |
PMC7118611 |
32247416.0 |
10.1016/j.arthro.2020.01.041 |
rvgnqfgd |
0.313836 |
Rodier_2007, Esswein_2004, Murray_2017, UNKNOWN_2016, UNKNOWN_2020 |
Taniguchi_2019, Al-Mohrej_2017, UNKNOWN_2008, McLeod_2017 |
| 74 |
Ng_T_2010 |
The value of superstitions |
Ng, Travis; Chong, Terence; Du, Xin |
2010 |
2010-06-30 |
PMC |
N |
PMC7113914 |
|
10.1016/j.joep.2009.12.002 |
60iwzsp6 |
0.312012 |
Stenseth_2008, Alves_2007, Mack_2007, Looker_2006 |
Yun_Q_2019, Su_C_2020, Roush_2015 |
| 75 |
Kumar_2020 |
N95 Mask Decontamination using Standard Hospital Sterilization Technologies |
Anand Kumar; Samantha B. Kasloff; Anders Leung; Todd Cutts; James E. Strong; Kevin Hills; Gloria Vazquez-Grande; Barret Rush; Sylvain Lother; Ryan Zarychanski; Jay Krishnan |
2020 |
2020-04-08 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>49346 |
fp9q8ayj |
0.306967 |
Mack_2007, Mwabu_2008, UNKNOWN_2019, Coker_2007, Kinlay_2015 |
Kenney_2020, Card_2020, Andersen_2006, Weber_2016 |
| 76 |
Reeves_2016 |
Public pensions and unmet medical need among older people: cross-national analysis of 16 European countries, 2004–2010 |
Reeves, Aaron; McKee, Martin; Mackenbach, Johan; Whitehead, Margaret; Stuckler, David |
2016 |
2016-12-13 |
COMM-USE |
N |
PMC5284463 |
27965315.0 |
10.1136/jech-2015-206257 |
gpeegg3p |
0.306732 |
Griffiths_2010, Fielding_2014, Wei_B_2011, Tulchinsky_2014, Ng_N_2014 |
James_2007, Li_H_2016, Du_J_2009, Lulin_2016 |
| 77 |
Card_2020 |
UV Sterilization of Personal Protective Equipment with Idle Laboratory Biosafety Cabinets During the Covid-19 Pandemic |
Kyle J Card; Dena Crozier; Andrew Dhawan; Mina Dinh; Emily Dolson; Nathan Farrokhian; Vishhvaan Gopalakrishnan; Emily Ho; Eshan S King; Nikhil Krishnan; Gleb Kuzmin; Jeff Maltas; Julia Pelesko; Jessica A Scarborough; Jacob G Scott; Geoff Sedor; Davis T Weaver |
2020 |
2020-03-27 |
BioRxiv |
Y |
|
|
10.1101/2<IP_ADDRESS>43489 |
vwu27sw2 |
0.305344 |
Coker_2007, Mack_2007, Stenseth_2008, Amirov_2007, Mwabu_2008 |
Kumar_2020, Kenney_2020, Li_L_2005, Weber_2016 |
| 78 |
Gosch_2013 |
B95: A new respirator for health care personnel |
Gosch, Megan E.; Shaffer, Ronald E.; Eagan, Aaron E.; Roberge, Raymond J.; Davey, Victoria J.; Radonovich, Lewis J. |
2013 |
2013-12-31 |
PMC |
N |
PMC7115300 |
23726655.0 |
10.1016/j.ajic.2013.03.293 |
36cs0vt9 |
0.305228 |
Rodier_2007, Coker_2007, Murray_2017, Norrby_2004, UNKNOWN_2007 |
Tong_2015, Baig_2010, Benson_2013 |
| 79 |
Benson_2013 |
Proper Use of Surgical N95 Respirators and Surgical Masks in the OR |
Benson, Stacey M.; Novak, Debra A.; Ogg, Mary J. |
2013 |
2013-04-30 |
PMC |
N |
PMC7105909 |
23531312.0 |
10.1016/j.aorn.2013.01.015 |
th2edwh4 |
0.301746 |
Mack_2007, Coker_2007, Dawes_2007, Roberge_2008, Mwabu_2008 |
Patel_2016, Lorente_2011 |
| 80 |
Chughtai_2015 |
Current practices and barriers to the use of facemasks and respirators among hospital-based health care workers in Vietnam |
Chughtai, Abrar Ahmad; Seale, Holly; Chi Dung, Tham; Maher, Lisa; Nga, Phan Thi; MacIntyre, C. Raina |
2015 |
2015-01-01 |
PMC |
N |
PMC7132717 |
25564127.0 |
10.1016/j.ajic.2014.10.009 |
msju59to |
0.301469 |
Coker_2007, Amirov_2007, Griffiths_2010, Knapp_2008, Rusoke-Dierich_2018 |
Chughtai_2014, Ho_H_2012, Alshammari_2018 |


require '../slim_files/start.php'; require '../slim_files/dash_home.php'; ?>
Use your budget of $105m to pick a squad of 15 players from the Football Fantasy League.
Play against friends and family, colleagues or a web community in private leagues.
Pick your starting 11 each Gameweek, choose your captain,and make transfers.
| Club | Pld | Pts |
|---|---|---|
| Man Utd | 7 | 16 |
| Man City | 7 | 15 |
| West Ham | 7 | 13 |
| Arsenal | 7 | 13 |
| Spurs | 7 | 12 |
| Leicester | 7 | 12 |
| Liverpool | 7 | 11 |
| Everton | 6 | 9 |
| Southampton | 7 | 9 |
| Crystal Palace | 6 | 9 |
| Swansea | 7 | 9 |
| Watford | 6 | 9 |
| Norwich | 7 | 9 |
| West Brom | 6 | 8 |
| Chelsea | 7 | 8 |
| Bournemouth | 7 | 7 |
| Stoke | 7 | 6 |
| Aston Villa | 7 | 4 |
| Newcastle | 7 | 3 |
| Sunderland | 7 | 2 |
| Club | Pld | Pts |
|---|---|---|
| Man City | 7 | 15 |
| West Ham | 7 | 13 |
| Arsenal | 7 | 13 |
| Spurs | 7 | 12 |
| Leicester | 7 | 12 |
| Liverpool | 7 | 11 |
| Everton | 6 | 9 |
| Southampton | 7 | 9 |
| Crystal Palace | 6 | 9 |
| Swansea | 7 | 9 |
| Watford | 6 | 9 |
| Norwich | 7 | 9 |
| West Brom | 6 | 8 |
| Chelsea | 7 | 8 |
| Bournemouth | 7 | 7 |
| Stoke | 7 | 6 |
| Aston Villa | 7 | 4 |
| Newcastle | 7 | 3 |
| Sunderland | 7 | 2 |


Annual influenza vaccination is recommended for older adults, but evidence regarding the impact of repeated vaccination has been inconclusive.
We investigated vaccine effectiveness (VE) against laboratory-confirmed influenza and the impact of repeated vaccination over 10 previous seasons on current season VE among older adults.
We conducted an observational test-negative study in community-dwelling adults aged > 65 years in Ontario, Canada for the 2010/11 to 2015/16 seasons by linking laboratory and health administrative data. We estimated VE using multivariable logistic regression. We assessed the impact of repeated vaccination by stratifying by previous vaccination history.
We included 58,304 testing episodes for respiratory viruses, with 11,496 (20%) testing positive for influenza and 31,004 (53%) vaccinated. Adjusted VE against laboratory-confirmed influenza for the six seasons combined was 21% (95% confidence interval (CI): 18 to 24%). Patients who were vaccinated in the current season, but had received no vaccinations in the previous 10 seasons, had higher current season VE (34%; 95%CI: 9 to 52%) than patients who had received 1–3 (26%; 95%CI: 13 to 37%), 4–6 (24%; 95%CI: 15 to 33%), 7–8 (13%; 95%CI: 2 to 22%), or 9–10 (7%; 95%CI: −4 to 16%) vaccinations (trend test p = 0.001). All estimates were higher after correcting for misclassification of current season vaccination status. For patients who were not vaccinated in the current season, residual protection rose significantly with increasing numbers of vaccinations received previously.
Although VE appeared to decrease with increasing numbers of previous vaccinations, current season vaccination likely provides some protection against influenza regardless of the number of vaccinations received over the previous 10 influenza seasons.


The easiest way is to run the installer. As it’s open source, you can see it will only install python packages necessary to run L.I.S.A. You need to be in the top directory (LISA) where there is the README.md file.
sh install/install.sh
Then, go into LISA-ENGINE and run :
twistd -ny lisa.py
You should now create your first user :
cd lisa
python manage.py createsuperuser
Warning
As a new interface is in development, it will quickly change. The interface will use the API
To install plugins : http://localhost:8000/ (you should login first)(the interface have not Ajax yet, so after clicking on an action, reload the page with F5 !) Plugins aren’t translated yet. By default it will use the english language. Change the LISA-Engine/Configuration/lisa.json lang attribute to “en” to use english in plugins, then look how a plugin is built, you will see it’s very easy to add a new language to the plugin.
You should be able to go to http://localhost:8000/speech/ (a webinterface will come soon and the twisted program will be daemonized as a service in the future).
LISA Engine come by default with some parameters contained in Configuration/lisa.json.
Here are the parameters available :
lang: The lang parameter will define which language to use in plugins. Some plugins will not be available in some languages.
lisa_url: Is used in the lisa web part. Set here the dns you want to use.
lisa_engine_port: This field contains the port number (integer) where LISA will listen. You can choose any port you want, take care to report the modification on clients too. By default, LISA will listen on the port 10042.
lisa_web_port: It is the port number (integer) where the webserver will listen. By default, LISA will listen on the port 8000 to avoid conflict with any webserver already installed. If there is no one, it can be set to 80.
Database:
server: DNS or IP of where the mongodb server is located. By default it will use localhost.
port: Port used by mongodb (27017 by default).
user: User granted to connect to the lisa database (‘lisa’ by default).
pass: Pass of the user granted to connect the lisa database (‘lisapowered’ by default).
debug: Display the debug/verbose mode. The value is false by default.
enable_secure_mode: With this value set to True, it will use the SSL to authenticate and secure the connection. The value is false by default.
enable_unsecure_mode: This parameter let anyone to connect to the default port without authentication. Should be used in local only. The value is True by default.
wit_url: Contains the Wit url to use it online or offline.
wit_token: The token to connect on Wit.
wit_confidence: Wit will give you suggestions if it don’t know exactly how to handle your sentence. Wit will train but it’s better to check a minimum of confidence. The default value is 0.800
LISA Engine include a rule engine to allow the user to modify the behavior of a plugin. The user can fill python code with condition which will be executed if conditions are matching.
For example, the output of a plugin can be overwritten depending the time of the day, or depending something else. With this system and choosing carefully the rules order, you can chain plugins.
LISA embed an API for every possible actions on the website. Once you started the server, you can access to the API doc (and test it in live) at this address (depending your ip):


Taiko is a node library with a clear and concise API to automate Chromium browsers .
AGENDA
About me
E2E tests
Taiko
Why Javascript?
Test framework
Comparison
Limitations
Demo
Conclusion
References
About me
13+ years in software testing
Tested web , mobile , and desktop applications.
Worked in large enterprises and start-ups .
Worked for
Novoda
Odgers Berndtson
Rail Delivery Group
Privax
Tata Consultancy Services
E2E Browser Tests
E2E Browser Tests
Challenges
Takes long time to execute
Not part of development lifecycle
Flaky
Tough to read or modify
Tests should change only when there is a change in functionality.
A change in the structure of a web page should not impact a test validating functional correctness.
Therefore, tools with lesser dependency on DOM is better for writing and maintaining tests!
E2E Browser Tests
Goal
Simulate what a real user scenario looks like from start to finish
Open source history
SOURCE - Thirstyhead.com by Scott Davis
ThoughtWorks has been writing free and open source automated browser testing tools for over 15 years.
Selenium RC was released in 2004, and WebDriver in 2007.
Today, there are a lot of free and open source tools to automate browser based tests.
Unfortunately, problems like flakiness and the cost of test maintenance have plagued this category of tests for a long time.
Meaning / Origin
My First Experience
Attended this event on 04-Sep-2019 as part of London Test Automation meetup.
Featured In
Technology Radar, is a bi-annual report informed by ThoughtWorks’ observations, conversations and frontline experience solving its clients’ toughest business challenges.
It is an opinionated guide to technology frontiers prepared by the ThoughtWorks Technology Advisory Board.
Since 2008.
A Node.js library
It is a node library with a clear and concise API to automate the chrome browser.
Uses DevTools API
It uses the Chrome DevTools Protocol API and is built ground up to test modern web applications.
Browsers are now starting to adopt standards for better web compatibility and less fragmentation of underlying web platforms.
The Chrome DevTools Protocol allows for tools to instrument, inspect, debug and profile Chromium, Chrome and other Blink-based browsers.
Many existing projects currently use the protocol.
The Chrome DevTools uses this protocol and the team maintains its API.
Taiko scripts are standards compliant and portable once browsers adopt these standards.
Custom Plugins
Taiko’s plugin architecture allows you to extend it.
Taiko features can be extended via plugins which can allow users to take more advantage of Chrome Devtools Protocol.
Screencast, screenchecks, accessibility, storage, android support.
Smart selectors
Write test scripts by looking at a web page without inspecting it’s source code.
Taiko allows you to select elements on the page based on what you see.
It's not based on the specific underlying structure that only a developer sees.
Implicit waits
Scripts written in Taiko are free of explicit local or global waits and the flakiness.
Modern test libraries "await" the element to appear instead.
This makes your tests run more resilient to things like slow network connections.
Implicit waits increase predictability.
Taiko explicitly chooses reliability over extreme performance.
If this tradeoff is unsuitable, you can choose to override it to improve performance.
Explicit waits can be defined for a given action.
Interactive recorder
Record and write maintainable test scripts within seconds using Taiko's unique recorder which is a REPL to automate the browser.
Unlike a UI recorder, Taiko’s REPL takes instructions given in the terminal and performs the action on the browser.
The user can continue to give instructions to complete a workflow.
Only successful actions are recorded as a script.
This generates human readable code and keeps the learning curve low.
Request & response stubbing
Mock and stub XHR request from the browser with Taiko's intercept API.
Acronyms
XHR stands for XML HTTP Request . It's used to update parts of a web page, without reloading the whole page.
REPL stands for Read Eval Print Loop . It is an interactive programming environment that takes single user inputs, executes them, and returns the result to the user
Why Javascript?
Why Taiko supports only Javascript and not any other languages?
Tool Comparison
How does Taiko compare with other browser automation tools?
Limitations
Are there any limitations to Taiko?
Platforms not Supported
iOS
Demo
It's demo time :)
Pause demo by pressing the key B
Sample Scripts
Conclusion
It's a Node.JS library
It uses Chrome DevTools Protocol
It automates tests quickly by using smart selectors
It reduces flakiness by handling waits
It comes with an interactive REPL
It's completely open-source
Reference
Use Github to post issues with Taiko and Spectrum to ask questions about Taiko to the team
Thank You
Email -<EMAIL_ADDRESS>LinkedIn - linkedin.com/in/amitsarkar007
GitHub - github.com/amitsarkar007
Questions?
Please post your questions on sli.do
Event Code : # 20269


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Lecture 16 Time-Series Modeling
This lecture uses the following packages:
tidyverse
tidyquant
vars
16.1 Introduction
The focus of this lecture is on time-series data. We will be making use of a new package that helps us apply the tools of the tidyverse to time series. To read more about the tidyquant
package, check out its website:
16.2 Data
To explore time-series modeling, we will download a few macroeconomic time series from
FRED. The data list I compiled for this lecture can be accessed at the following link:
https://research.stlouisfed.org/pdl/988
The following steps assume you used the Zipped Tab Delimted Text
option with 1972-01-01
as the start date.
library(tidyverse)
daily <- read_tsv(
"data/Time_series_lecture_txt/Time_series_lecture_Daily.txt",
na = c(".")
)
monthly <- read_tsv(
"data/Time_series_lecture_txt/Time_series_lecture_Monthly.txt",
na = c(".")
)
quarterly <- read_tsv(
"data/Time_series_lecture_txt/Time_series_lecture_Quarterly.txt",
na = c(".")
) %>%
mutate(GDPC1_CHG = c(NA, diff(GDPC1)))
Since we have data in multiple frequencies, we first need to aggregate up to the quarterly level.
library(tidyquant)
daily_q <- daily %>%
tq_transmute(mutate_fun = to.quarterly)
monthly_q <- monthly %>%
tq_transmute(mutate_fun = to.quarterly)
all_q <- quarterly %>%
mutate(DATE = as.yearqtr(DATE, format = "%Y-%m-%d")) %>%
merge(monthly_q, all = TRUE) %>%
merge(daily_q, all = TRUE)
head(all_q)
## DATE CBIC1 GDPC1 GDPC1_CHG EMRATIO HOUST IPMANSICS PERMIT USTRADE
## 1 1972 Q1 12.299 5002.436 NA 56.9 2334 39.4883 2105 7946.6
## 2 1972 Q2 40.281 5118.278 115.842 57.0 2254 40.1413 2183 8019.4
## 3 1972 Q3 43.105 5165.448 47.170 57.0 2481 40.9834 2393 8073.1
## 4 1972 Q4 17.313 5251.226 85.778 57.3 2366 42.6782 2419 8224.1
## 5 1973 Q1 28.392 5380.502 129.276 57.8 2365 43.7572 2062 8306.8
## 6 1973 Q2 55.489 5441.504 61.002 58.0 2067 43.9351 2051 8370.6
## NASDAQCOM
## 1 128.14
## 2 130.08
## 3 129.61
## 4 133.73
## 5 117.46
## 6 100.98
16.3 Hold-Out Set
Just like in the previous lecture we want to use a training set so that we can evaluate the accuracy of our model on new data. In the context of time-series data, the validation/test sets are usually referred to as the hold-out set.
train <- all_q %>% filter(DATE < "2010 Q1")
hold_out <- all_q %>% filter(DATE >= "2010 Q1")
16.4 GDP
Let’s begin by plotting the series we want to predict (GDP):
ggplot(train, aes(x = DATE, y = GDPC1)) +
geom_line() +
scale_x_yearqtr() +
labs(title = "Real GDP")
The GDP series in not stationary (you can see that the mean changes over time). Let’s look at GDPC1_CHG
, which is real GDP change from one quarter to the next.
ggplot(train) +
geom_line(aes(DATE, GDPC1_CHG)) +
scale_x_yearqtr() +
labs(title = "Real GDP Change")
This series appears stationary so we’ll use it when the model we look at requires a stationary series.
16.5 Autoregressive Model
The Autoregressive (AR) model says that previous values are our best predictors of the future.
Here is the equation for an AR(1) model:
\[ y_t = \rho y_{t-1} + \varepsilon_t \]
\(y_{t-1}\) is the value last period.
There are many options possible with the ar()
function, but we will stick to the defaults.
ar_model <- ar(train$GDPC1_CHG, na.action = na.omit)
ar_model
##
## Call:
## ar(x = train$GDPC1_CHG, na.action = na.omit)
##
## Coefficients:
## 1 2
## 0.3734 0.1465
##
## Order selected 2 sigma^2 estimated as 4606
16.5.1 AR Performance
ar_prediction <- predict(ar_model, newdata = c(0), n.ahead = 12)
ar_prediction
## $pred
## Time Series:
## Start = 2
## End = 13
## Frequency = 1
## [1] 30.33208 41.65808 50.33007 55.22716 58.32595 60.20034 61.35413
## [8] 62.05950 62.49189 62.75666 62.91886 63.01821
##
## $se
## Time Series:
## Start = 2
## End = 13
## Frequency = 1
## [1] 67.86826 72.44526 74.99879 75.79498 76.11146 76.22692 76.27062
## [8] 76.28695 76.29309 76.29539 76.29625 76.29657
ggplot(cbind(hold_out[1:12,c("DATE", "GDPC1_CHG")], as.data.frame(ar_prediction)), aes(x = DATE)) +
geom_ribbon(aes(ymin = pred - se, ymax = pred + se), alpha = 0.25, fill = scales::muted("green")) +
geom_line(aes(y = pred), lty = 2) +
geom_line(aes(y = GDPC1_CHG)) +
scale_x_yearqtr() +
scale_y_continuous() +
labs(title = "AR prediction of GDP Change", subtitle = "Actual = solid, prediciton = dashed, se = green")
16.6 ARIMA
An Autoregressive integrated moving average (ARIMA) model is able to model non-stationary series. Just like the ar()
function, the arima()
function has many options for tuning the results. Again we will stick to the defaults, but we do need to specify the order
parameter. The order is a three integer vector, (p
, d
, q
), where p
is the autoregressive order (above we had 2), d
is the degree of differecing (we implicitly assumed this to be 1), and q
is the moving average order. Since ARIMA can handle non-stationary series we will model GDPC1
.
arima_model <- arima(train$GDPC1, c(2, 1, 0))
arima_model
##
## Call:
## arima(x = train$GDPC1, order = c(2, 1, 0))
##
## Coefficients:
## ar1 ar2
## 0.4951 0.2622
## s.e. 0.0789 0.0789
##
## sigma^2 estimated as 4998: log likelihood = -857.64, aic = 1721.28
16.6.1 ARIMA Performance
arima_prediction <- predict(arima_model, n.ahead = 12)
arima_prediction
## $pred
## Time Series:
## Start = 153
## End = 164
## Frequency = 1
## [1] 14623.23 14700.05 14759.41 14808.94 14849.02 14881.85 14908.62
## [8] 14930.48 14948.31 14962.88 14974.76 14984.47
##
## $se
## Time Series:
## Start = 153
## End = 164
## Frequency = 1
## [1] 70.69357 127.15697 190.28257 254.15813 318.06299 380.88473 442.16208
## [8] 501.58832 559.02786 614.43429 667.82451 719.25352
We can compare the ARIMA prediction to the actual values.
ggplot(cbind(hold_out[1:12,c("DATE", "GDPC1")], as.data.frame(arima_prediction)), aes(x = DATE)) +
geom_ribbon(aes(ymin = pred - se, ymax = pred + se), alpha = 0.25, fill = scales::muted("green")) +
geom_line(aes(y = pred), lty = 2) +
geom_line(aes(y = GDPC1)) +
scale_x_yearqtr() +
scale_y_continuous() +
labs(title = "ARIMA prediction of GDP", subtitle = "Actual = solid, prediciton = dashed, se = green")
16.7 Vector Autoregression
Another approach is using a system of variables and allowing old values of each variable to affect the others.
library(vars)
var_model <- VAR(train %>% dplyr::select(GDPC1, CBIC1, PERMIT), p = 2)
var_model
##
## VAR Estimation Results:
## =======================
##
## Estimated coefficients for equation GDPC1:
## ==========================================
## Call:
## GDPC1 = GDPC1.l1 + CBIC1.l1 + PERMIT.l1 + GDPC1.l2 + CBIC1.l2 + PERMIT.l2 + const
##
## GDPC1.l1 CBIC1.l1 PERMIT.l1 GDPC1.l2 CBIC1.l2
## 1.43580900 -0.58917688 0.11891599 -0.43578050 0.41277606
## PERMIT.l2 const
## -0.07028366 -31.27177629
##
##
## Estimated coefficients for equation CBIC1:
## ==========================================
## Call:
## CBIC1 = GDPC1.l1 + CBIC1.l1 + PERMIT.l1 + GDPC1.l2 + CBIC1.l2 + PERMIT.l2 + const
##
## GDPC1.l1 CBIC1.l1 PERMIT.l1 GDPC1.l2 CBIC1.l2
## 0.27499817 0.26622923 -0.01514752 -0.27662607 0.25766133
## PERMIT.l2 const
## 0.02982024 -11.41669980
##
##
## Estimated coefficients for equation PERMIT:
## ===========================================
## Call:
## PERMIT = GDPC1.l1 + CBIC1.l1 + PERMIT.l1 + GDPC1.l2 + CBIC1.l2 + PERMIT.l2 + const
##
## GDPC1.l1 CBIC1.l1 PERMIT.l1 GDPC1.l2 CBIC1.l2
## -0.09626649 0.50352114 1.02625655 0.09599222 -0.38516155
## PERMIT.l2 const
## -0.10390036<PHONE_NUMBER>0
var_prediction <- predict(var_model, n.ahead = 12)
var_prediction
## $GDPC1
## fcst lower upper CI
## [1,] 14552.09 14428.14 14676.04 123.9503
## [2,] 14581.90 14362.44 14801.37 219.4656
## [3,] 14614.81 14316.20 14913.41 298.6046
## [4,] 14647.63 14279.68 15015.57 367.9448
## [5,] 14682.57 14250.80 15114.34 431.7711
## [6,] 14719.60 14227.66 15211.54 491.9397
## [7,] 14758.43 14208.98 15307.88 549.4520
## [8,] 14798.94 14194.01 15403.87 604.9275
## [9,] 14840.98 14182.23 15499.73 658.7516
## [10,] 14884.42 14173.25 15595.59 711.1726
## [11,] 14929.15 14166.79 15691.51 762.3579
## [12,] 14975.05 14162.63 15787.48 812.4249
##
## $CBIC1
## fcst lower upper CI
## [1,] -54.72311 -113.4161 3.969862 58.69298
## [2,] -51.43549 -123.9368 21.065856 72.50135
## [3,] -44.19701 -124.3483 35.954254 80.15126
## [4,] -39.78960 -124.6068 45.027623 84.81723
## [5,] -36.19733 -124.0671 51.672487 87.86982
## [6,] -32.94117 -123.0147 57.132343 90.07351
## [7,] -30.06393 -121.8203 61.692405 91.75633
## [8,] -27.50770 -120.5942 65.578797 93.08650
## [9,] -25.21998 -119.3806 68.940582 94.16057
## [10,] -23.16746 -118.2047 71.869752 95.03721
## [11,] -21.32295 -117.0791 74.433163 95.75611
## [12,] -19.66354 -116.0101 76.683031 96.34657
##
## $PERMIT
## fcst lower upper CI
## [1,] 766.2323 479.0121 1053.453 287.2203
## [2,] 814.9529 407.6930 1222.213 407.2598
## [3,] 856.0776 369.8733 1342.282 486.2042
## [4,] 895.2920 349.9675 1440.617 545.3246
## [5,] 930.6943 340.0841 1521.304 590.6101
## [6,] 962.8492 336.8620 1588.836 625.9872
## [7,] 992.2160 338.1076 1646.324 654.1084
## [8,] 1019.0231 342.3067 1695.740 676.7164
## [9,] 1043.4904 348.4537 1738.527 695.0366
## [10,] 1065.8233 355.8536 1775.793 709.9698
## [11,] 1086.2063 364.0110 1808.402 722.1953
## [12,] 1104.8068 372.5697 1837.044 732.2371
ggplot(
cbind(hold_out[1:12,c("DATE", "GDPC1")], as.data.frame(var_prediction$fcst$GDPC1)),
aes(x = DATE)
) +
geom_ribbon(aes(ymin = lower, ymax = upper), alpha = 0.25, fill = scales::muted("green")) +
geom_line(aes(y = fcst), lty = 2) +
geom_line(aes(y = GDPC1)) +
scale_x_yearqtr() +
scale_y_continuous() +
labs(
title = "VAR prediction of GDP",
subtitle = "Actual = solid, prediciton = dashed, 95% CI = green"
)
16.8 Assignment
Pick your preferred model and test its performance in the entire hold-out dataset. Report the RMSE (see the previous lesson) and create a chart like the ones above showing lines for the actual and predicted values with a blue ribbon indicating one standard error (for AR or ARIME) or the confidence interval (for VAR) about the prediciton.


Class Application
Application
Namespace: Native5
Package: Native5\Core
Category: Application
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>======= href="mailto:barry<EMAIL_ADDRESS>>>>>>>> release-0.2.0 Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
<<<<<<< HEAD Located at Native5/Application.php
======= Located at Native5/Application.php
>>>>>>> release-0.2.0
Package: Native5\Core
Category: Application
Copyright: 2012 Native5. All Rights Reserved
License: attached NOTICE.md for details
Author: Barada Sahu<EMAIL_ADDRESS>======= href="mailto:barry<EMAIL_ADDRESS>>>>>>>> release-0.2.0 Version: Release: 1.0
Link: Created : 27-11-2012 Last Modified : Fri Dec 21 09:11:53 2012
<<<<<<< HEAD Located at Native5/Application.php
======= Located at Native5/Application.php
>>>>>>> release-0.2.0
Methods summary
public static
|
|
public
|
|
public
|
#
<<<<<<< HEAD
setSubject( mixed $subject )
=======
setSubject( mixed $subject )
>>>>>>> release-0.2.0
setSubject |
public
SessionManager
|
#
<<<<<<< HEAD
getSessionManager( )
=======
getSessionManager( )
>>>>>>> release-0.2.0
getSessionManager |
public
|
#
<<<<<<< HEAD
getConfiguration( )
=======
getConfiguration( )
>>>>>>> release-0.2.0
getConfiguration Get configuration of the application. |
public
Service
|
|
public
|
|
public
|


{% include about/head.html %}
{% include about/header.html %} {% include about/services.html %} {% include about/portfolio_grid.html %} {% include about/about.html %} {% include about/contact.html %} {% include footer.html %} {% include about/modals.html %} {% include about/js.html %}


Baseclass for the coupling operations used for CoSimulation This class can be used to customize the behavior of the CoSimulation, by providing a large interface and access to the solvers/models.
More...
Baseclass for the coupling operations used for CoSimulation This class can be used to customize the behavior of the CoSimulation, by providing a large interface and access to the solvers/models.
◆ __init__()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.__init__ |
( |
|
self, |
|
|
|
settings, |
|
|
|
parent_coupled_solver_process_info, |
|
|
|
parent_coupled_solver_data_communicator |
|
) |
| |
◆ Check()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.Check |
( |
|
self | ) |
|
◆ Execute()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.Execute |
( |
|
self | ) |
|
◆ Finalize()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.Finalize |
( |
|
self | ) |
|
◆ FinalizeCouplingIteration()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.FinalizeCouplingIteration |
( |
|
self | ) |
|
◆ FinalizeSolutionStep()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.FinalizeSolutionStep |
( |
|
self | ) |
|
◆ Initialize()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.Initialize |
( |
|
self | ) |
|
◆ InitializeCouplingIteration()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.InitializeCouplingIteration |
( |
|
self | ) |
|
◆ InitializeSolutionStep()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.InitializeSolutionStep |
( |
|
self | ) |
|
◆ PrintInfo()
| def base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.PrintInfo |
( |
|
self | ) |
|
◆ data_communicator
| base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.data_communicator |
◆ echo_level
| base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.echo_level |
◆ process_info
| base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.process_info |
◆ settings
| base_classes.co_simulation_coupling_operation.CoSimulationCouplingOperation.settings |
The documentation for this class was generated from the following file:


buttons.css - A CSS Library dedicated for buttons.


Gateway
BOT
16-Oct-19 08:40 PM
[dscrd-hush] <Crypto99> I only did my first Pull Request, the other night, lol.
But @Berg will be getting a prototype HushDroid Pixel phone, next week
[dscrd-hush] <Crypto99> Itll have AtomicDex
[dscrd-hush] <Crypto99> Of course, SilentDragon
[dscrd-hush] <1112> AtomicDex doesn't seem like a serious project when it only works on a phone and not a computer. 5-inch screen vs 5 feet of screen display...
[dscrd-hush] <Crypto99> This is a fair criticism.
I do think a mobile release was big though
[dscrd-hush] <Crypto99> It came in time when US users were being kicked off Binance
[dscrd-hush] <Crypto99> To not be a niche app, it does need a desktop version
[dscrd-hush] <phm87> well, atomicdex is a confusing name: let's say
- mm2/atomicdex is the tech
- atomicdex is the phone version
- hyperdex is the desktop version (opensource and dev paid by hyperdex)
- chameleon (or another name ?) is another version from a company
All the 3 GUI shares the same pool of atomic swaps
[dscrd-hush] <phm87> Did you try HyperDEX on the desktop ? I saw recent printscreens so it should work
[dscrd-hush] <Crypto99> That is your main problem then.
[dscrd-hush] <phm87> and for the geeks there is a version without GUI : atomicdex-api they named it
[dscrd-hush] <Crypto99> AtomicDex & HyperDex should share the same name
[dscrd-hush] <Crypto99> And be branded together
[dscrd-hush] <phm87> yeah names are confusing a lot I agree but AtomicDex is from KMD team while HyperDEX is from hyperdex
[dscrd-hush] <Crypto99> For the sake of being more successful, it should share the same name
[dscrd-hush] <phm87> atomicdex-phone and atomicdex-desktop maybe ...
[dscrd-hush] <Crypto99> Of course
[dscrd-hush] <Crypto99> Same graphics
[dscrd-hush] <Crypto99> Komodo should market them together
[dscrd-hush] <phm87> I think that some competition is not bad (we are talking about GUI's of the same thing)
[dscrd-hush] <phm87> I think that they are helping each other but it is still two teams
[dscrd-hush] <Crypto99> Well then the atomicdex team should create it's own desktop version
[dscrd-hush] <phm87> on my side, i prefer to look at the API thing in order to be able to use it without a GUI
[dscrd-hush] <Crypto99> If that makes it any simpler. It's not about competition, it's about Platform success
[dscrd-hush] <Crypto99> It should always be about that
[dscrd-hush] <phm87> I want to add atomicdex into pools that dump coins (autotrading), it can add liquidity. I can do yiimp but I may need help for knomp stuff and other ones (ccxt)
[dscrd-hush] <phm87> but about ccxt, I think that KMD dev's should do it themselves
[dscrd-hush] <Crypto99> Like with Hush, @dukeleto is first and foremost, about user privacy regardless of the implications
(edited)
[dscrd-hush] <phm87> I don't care about privacy : your wife always know everything, you know it and govts can estimate income based on what ppl spent (drugs dealers are officially unemployed but they drive expensive cars)
[dscrd-hush] <Crypto99> Might I ask, bc I don't know, do you do anything for Hush?
[dscrd-hush] <phm87> not yet
[dscrd-hush] <phm87> I like this discord
[dscrd-hush] <Crypto99> Well we disagree on privacy.
But people disagree, this is fine with me
[dscrd-hush] <phm87> oh I am wrong : I am notarizing Hush a little bit
[dscrd-hush] <Crypto99> Well that's good.
[dscrd-hush] <Crypto99> What is your role with AtomicDex?
[dscrd-hush] <phm87> so yes I am doing "something" for Hush but it doesn't have a special treatment on my NN
[dscrd-hush] <phm87> until now, I have no rule in AtomicDex, I changed few lines of code to add a coin but I didn't test it yet
[dscrd-hush] <phm87> I made few tests on my phone, so I am officially a mm2/atomicdex tested on KMD discord but I didn't do much
[dscrd-hush] <Crypto99> I have been testing it as well on mobile
[dscrd-hush] <phm87> and about Hush, whatever I don't do anything for it (except notarizing), I'm trying to understand dukeleto's work, I'm interested into the recent metadata leak bug
[dscrd-hush] <Crypto99> I was just curious if you did, I'm new to the discord
[dscrd-hush] <Crypto99> I didn't mean it in a bad way, at all.
Simply a question
[dscrd-hush] <phm87> what is your role about Hush ? I'll have a look at your discord tags ^^
[dscrd-hush] <Crypto99> I'm happy to have you here and to chat with you
[dscrd-hush] <phm87> KMD guys game me the role "community contributor", unsure why
[dscrd-hush] <phm87> I'm also happy to discuss with you
[dscrd-hush] <Crypto99> I only asked bc I saw you in AtomicDex channel
[dscrd-hush] <Crypto99> Frequently
[dscrd-hush] <phm87> and I'm happy to disagree without any harm or anything rude, it is fine to disagree here ^^
[dscrd-hush] <Crypto99> I'm the Hush Android Czar
[dscrd-hush] <phm87> yes I'm interested in atomicdex but lack of time to test it deeply and adapt code
[dscrd-hush] <Crypto99> I've been following Hush since 2017 and in the Komodo community, for a few years, as well. I followed BitcoinDark and Supernet before that
[dscrd-hush] <Crypto99> Just a good project
(edited)
[dscrd-hush] <Crypto99> Good people
[dscrd-hush] <phm87> I run a yiimp pool since 2017, I contributed a little bit and I helped to find and fix some bugs/leaks
[dscrd-hush] <Crypto99> That's badaise
[dscrd-hush] <phm87> but due to server cost, I own few crypto
[dscrd-hush] <Crypto99> I see. Servers can be expensive
[dscrd-hush] <phm87> we didn't do enough marketing during the bear market and whatever I did few things for zpool, I didn't add much on my pool (except equihash algo)
[dscrd-hush] <Crypto99> Being a NN is not easy
[dscrd-hush] <Crypto99> That's what I hear, at least
[dscrd-hush] <Crypto99> Komodo marketing?
[dscrd-hush] <phm87> I already have experience in running coins/pools and I participated in testnet
[dscrd-hush] <phm87> no I mean marketing for my pool
[dscrd-hush] <Crypto99> You can mine and get paid in btc, right?
[dscrd-hush] <phm87> not on my pool : there is no autotrading
[dscrd-hush] <phm87> you are paid in the coin you are mining and there is one port per coin
[dscrd-hush] <Crypto99> How many coins?
[dscrd-hush] <phm87> but autotrading and profit switch interest me a lot but I'm afraid about legal
[dscrd-hush] <phm87> I had 40 coins at the top. Now, we have 20 but only 5 with miners
[dscrd-hush] <Crypto99> Legal? You mean being taxed?
[dscrd-hush] <Crypto99> I hope they are whales
[dscrd-hush] <phm87> they don't tax on each trade but I might have AML question if govts see a huge trading volume under my name
[dscrd-hush] <Crypto99> Is your pool profitabile?
And does it have HUSH?
[dscrd-hush] <phm87> I didn't add Hush yet
[dscrd-hush] <phm87> and no, my pool is not profitable since months
[dscrd-hush] <Crypto99> Would that involve a lot of work?
[dscrd-hush] <phm87> it was profitable in 2017 and beginning of 2018. XVG was a thing on blake2s (30 000 miners at peak due to dual miner ethereum - blake2s)
[dscrd-hush] <phm87> when you learnt how to run a pool, it doesn't require lot of work (technically)
[dscrd-hush] <Crypto99> Why not add Hush and run a promotion, of some sort?
[dscrd-hush] <phm87> but on marketing (how to attract miners), you must compete worldwide
[dscrd-hush] <phm87> I can add Hush and make a promotion yes
[dscrd-hush] <phm87> I added KMD before being elected as NN but I had 0 miners, only complaints about the fact that a part of my stratum is closed source
[dscrd-hush] <Crypto99> Maybe this could attract some miners,.
[dscrd-hush] <Crypto99> What can you do, to make it open source?
[dscrd-hush] <phm87> the code was shared by a friend to me so I won't disclose it, it is his thing
[dscrd-hush] <phm87> I respect him too much
[dscrd-hush] <Crypto99> I think small issues like this, often stand in the way, of success
[dscrd-hush] <Crypto99> I understand it's a matter of principle
[dscrd-hush] <Crypto99> And respectful
[dscrd-hush] <Crypto99> Could you not rewrite it in your own code?
[dscrd-hush] <phm87> I don't have the competencies to rewrite that, there are many places to changes
[dscrd-hush] <phm87> I adapted more code to be able to rent equihash hashrate : hashtap.ca allows you to rent hashrate of zpool.ca it is similar to nicehash (technically it is stratum proxy). Now, equihash is not available. I shared my code with him so he can also let ppl rent equihash. I can also add it on my pool (but I'll need to allow autotrading OR to make a deal with a whale)
[dscrd-hush] <Crypto99> Understood. Maybe we can discuss with Duke, to see if a promotion would be worth trying. He's an experienced miner & Hush expert... lol
[dscrd-hush] <Crypto99> He knows the mining community.
[dscrd-hush] <phm87> I know marketing a little bit (SEO) and how to position sth on google
[dscrd-hush] <Crypto99> We talk about mining
(edited)
[dscrd-hush] <Crypto99> I know how to find people and approach them


from threading import local
from urllib.parse import urlsplit, urlunsplit
from django.utils.encoding import iri_to_uri
from django.utils.functional import lazy
from django.utils.translation import override
from .exceptions import NoReverseMatch, Resolver404
from .resolvers import get_ns_resolver, get_resolver
from .utils import get_callable
# SCRIPT_NAME prefixes for each thread are stored here. If there's no entry for
# the current thread (which is the only one we ever access), it is assumed to
# be empty.
_prefixes = local()
# Overridden URLconfs for each thread are stored here.
_urlconfs = local()
[docs]def resolve(path, urlconf=None):
if urlconf is None:
urlconf = get_urlconf()
return get_resolver(urlconf).resolve(path)
[docs]def reverse(viewname, urlconf=None, args=None, kwargs=None, current_app=None):
if urlconf is None:
urlconf = get_urlconf()
resolver = get_resolver(urlconf)
args = args or []
kwargs = kwargs or {}
prefix = get_script_prefix()
if not isinstance(viewname, str):
view = viewname
else:
parts = viewname.split(':')
parts.reverse()
view = parts[0]
path = parts[1:]
if current_app:
current_path = current_app.split(':')
current_path.reverse()
else:
current_path = None
resolved_path = []
ns_pattern = ''
ns_converters = {}
while path:
ns = path.pop()
current_ns = current_path.pop() if current_path else None
# Lookup the name to see if it could be an app identifier.
try:
app_list = resolver.app_dict[ns]
# Yes! Path part matches an app in the current Resolver.
if current_ns and current_ns in app_list:
# If we are reversing for a particular app, use that
# namespace.
ns = current_ns
elif ns not in app_list:
# The name isn't shared by one of the instances (i.e.,
# the default) so pick the first instance as the default.
ns = app_list[0]
except KeyError:
pass
if ns != current_ns:
current_path = None
try:
extra, resolver = resolver.namespace_dict[ns]
resolved_path.append(ns)
ns_pattern = ns_pattern + extra
ns_converters.update(resolver.pattern.converters)
except KeyError as key:
if resolved_path:
raise NoReverseMatch(
"%s is not a registered namespace inside '%s'" %
(key, ':'.join(resolved_path))
)
else:
raise NoReverseMatch("%s is not a registered namespace" % key)
if ns_pattern:
resolver = get_ns_resolver(ns_pattern, resolver, tuple(ns_converters.items()))
return iri_to_uri(resolver._reverse_with_prefix(view, prefix, *args, **kwargs))
reverse_lazy = lazy(reverse, str)
def clear_url_caches():
get_callable.cache_clear()
get_resolver.cache_clear()
get_ns_resolver.cache_clear()
def set_script_prefix(prefix):
"""
Set the script prefix for the current thread.
"""
if not prefix.endswith('/'):
prefix += '/'
_prefixes.value = prefix
[docs]def get_script_prefix():
"""
Return the currently active script prefix. Useful for client code that
wishes to construct their own URLs manually (although accessing the request
instance is normally going to be a lot cleaner).
"""
return getattr(_prefixes, "value", '/')
def clear_script_prefix():
"""
Unset the script prefix for the current thread.
"""
try:
del _prefixes.value
except AttributeError:
pass
def set_urlconf(urlconf_name):
"""
Set the URLconf for the current thread (overriding the default one in
settings). If urlconf_name is None, revert back to the default.
"""
if urlconf_name:
_urlconfs.value = urlconf_name
else:
if hasattr(_urlconfs, "value"):
del _urlconfs.value
def get_urlconf(default=None):
"""
Return the root URLconf to use for the current thread if it has been
changed from the default one.
"""
return getattr(_urlconfs, "value", default)
def is_valid_path(path, urlconf=None):
"""
Return True if the given path resolves against the default URL resolver,
False otherwise. This is a convenience method to make working with "is
this a match?" cases easier, avoiding try...except blocks.
"""
try:
resolve(path, urlconf)
return True
except Resolver404:
return False
def translate_url(url, lang_code):
"""
Given a URL (absolute or relative), try to get its translated version in
the `lang_code` language (either by i18n_patterns or by translated regex).
Return the original URL if no translated version is found.
"""
parsed = urlsplit(url)
try:
match = resolve(parsed.path)
except Resolver404:
pass
else:
to_be_reversed = "%s:%s" % (match.namespace, match.url_name) if match.namespace else match.url_name
with override(lang_code):
try:
url = reverse(to_be_reversed, args=match.args, kwargs=match.kwargs)
except NoReverseMatch:
pass
else:
url = urlunsplit((parsed.scheme, parsed.netloc, url, parsed.query, parsed.fragment))
return url
Oct 01, 2019


This 100 piece puzzle from Australia features the Sweetwater Wedding bears and many original Sylvanians.


DC Steaks & Burgers
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Who are we?
With a mission to “innovate the future”, PowerVision Group is a global technology leader focusing on UAV-related products and services including smart drones, data visualization and forecasting, virtual reality and augmented reality. Headquartered in Beijing, China, PowerVision Group has offices in Shanghai, Shenzhen, Hong Kong, Yangzhou, Silicon Valley, Boston, Helsinki, Frankfurt and Perth.
An innovation leader, PowerVision Robot has been released series of intelligent robot products including drones and multi-purpose consumer robots. By its cutting edge technologies, PowerVision continuously increases the performance of robots to improve the lives of people worldwide. In August 2016, PowerVision launched its first consumer drone, PowerEgg, in North America, Europe, and China.


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