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  transform: translateY(40px);
  opacity: 0;
}

.tutorial .tutorial-list p {
  margin: 30px 80px 30px;
}

.tutorial .tutorial-list p:last-child {
  margin-bottom: 0;
}

.tutorial .article-left p {
  margin-left: 0;
  margin-right: 0;
}

.tutorial .tutorial-list .right-image p, .tutorial-list .right-image h4 {
  margin-left: 30px;
}

.tutorial .tutorial-list li .full-size {
  margin-bottom: -66px;
  max-width: 90%;
}

.tutorial .tutorial-list .hidden {
  display: none;
}

.tutorial .tutorial-list .question {
  text-align: center;
}

.tutorial .tutorial-list > li:last-child:before {
  content: "";
  position: absolute;
  left: -55px;
  top: 0;
  height: 105%;
  width: 10px;
  background-color: #f5f5f5;
}

.tutorial .tutorial-list .right {
  margin: -45px 0 0 30px;
  border-top-right-radius: 5px;
  border-bottom-right-radius: 5px;
}

.tutorial .details {
  font-size: 14px;
  font-weight: 400;
}

.tutorial .tutorial-list .question:after {
  content: "?";
}

.tutorial .tutorial-list > li:not(.question):after {
  counter-increment: tutorialstep;
  content: counter(tutorialstep);
}

.tutorial .tutorial-list > li:after {
  width: 58px;
  height: 58px;
  line-height: 58px;
  background-color: #327fc7;
  border-radius: 200px;
  font-size: 30px;
  font-weight: 300;
  color: #fff;
  position: absolute;
  left: -15px;
  top: -15px;
  text-align: center;
  -webkit-backface-visibility: hidden;
  z-index: 100;
}

.tutorial .terminal {
  width: 700px;
  margin: 30px auto 0;
}

.tutorial .header {
  height: 25px;
  display: block;
  background: -moz-linear-gradient(top,  #f7f7f7 0%, #cfcfcf 5%, #aaaaaa 100%);
  background: -webkit-gradient(linear, left top, left bottom, color-stop(0%,#f7f7f7), color-stop(5%,#cfcfcf), color-stop(100%,#aaaaaa));
  background: -webkit-linear-gradient(top,  #f7f7f7 0%,#cfcfcf 5%,#aaaaaa 100%);
  background: -o-linear-gradient(top,  #f7f7f7 0%,#cfcfcf 5%,#aaaaaa 100%);
  background: -ms-linear-gradient(top,  #f7f7f7 0%,#cfcfcf 5%,#aaaaaa 100%);
  background: linear-gradient(top,  #f7f7f7 0%,#cfcfcf 5%,#aaaaaa 100%);
  filter: progid:DXImageTransform.Microsoft.gradient( startColorstr='#f7f7f7', endColorstr='#aaaaaa',GradientType=0 );
  border: 1px solid #9c9c9c;
  border-bottom-color: #111;
  border-top-left-radius: 7px;
  border-top-right-radius: 7px;
  text-align: center;
  font-size: 13px;
  line-height: 25px;
  text-shadow: 0 1px 0 rgba(255,255,255,0.6);
  color: #444;
}

.tutorial .shell {
  font-family: Consolas, "Liberation Mono", Courier, monospace;
  font-size: 17px;
  line-height: 28px;
  color: #eeeb82;
  background-color: #3d3d3d;
  overflow: hidden;
  padding: 20px;
  margin: 0;
  border-bottom-left-radius: 7px;
  border-bottom-right-radius: 7px;
  text-align: left;
  display: block;
}

.tutorial .tutorial-list .shell p {
  margin: 0;
  font-weight: bold;
  -webkit-backface-visibility: hidden;
}

.tutorial .path {
  color: #71cfee;
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  padding-right: 0.6em;
}

.tutorial .prompt {
  color: #d74d52;
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  padding-right: 0.6em;
}

/* Next steps */

.next-steps h1 {
    margin: 90px auto 0 auto;
    font-size: 48px;
    font-weight: 200;
    line-height: 60px;
    text-align: center;
    max-width: 910px;
    color: #333;
}

.next-steps .wrapper {
    position: relative;
    width: 911px;
    margin: 80px auto;
}

.next-steps .hero-octicon {
  margin-bottom: 35px;
}

.next-steps p {
    font-weight: 400;
    margin: 15px 0 30px;
    line-height: 1.7em;
}

.next-steps li {
  display: table-cell;
  text-align: center;
  padding: 0 20px 0;

  -webkit-transition: opacity 0.8s ease-in-out 0s;
  -moz-transition: opacity 0.8s ease-in-out 0s;
  -ms-transition: opacity 0.8s ease-in-out 0s;
  -o-transition: opacity 0.8s ease-in-out 0s;
  transition: opacity 0.8s ease-in-out 0s;
}

.next-steps .animate-in {
  opacity: 0;
}

.next-steps li:first-child, .next-steps li:last-child {
  padding-left: 0;
  padding-right: 0;
}

.next-steps .custom-urls {
  -webkit-transition-delay: 0.15s;
  -moz-transition-delay: 0.15s;
  -ms-transition-delay: 0.15s;
  -o-transition-delay: 0.15s;
  transition-delay: 0.15s;
}

.custom-urls .mega-octicon {
  -webkit-transform:rotate(-45deg);
  -moz-transform:rotate(-45deg);
  -o-transform:rotate(-45deg);
  -ms-transform:rotate(-45deg);
  transform:rotate(-45deg);
}

.next-steps .guides {
  -webkit-transition-delay: 0.3s;
  -moz-transition-delay: 0.3s;
  -o-transition-delay: 0.3s;
  transition-delay: 0.3s;
}

.next-steps h4 {
  font-size: 30px;
  font-weight: 300;
  line-height: 1em;
  -webkit-backface-visibility: hidden;
}

/* end next steps */

.docs .columns .doc_column {
    float: left;
    padding: 40px 0px;
}

repository: sbilly/ppmessage

license_type: permissive

repo_name: sbilly/ppmessage

branch_name: refs/heads/master

gha_license_id: NOASSERTION

gha_language: JavaScript

extension: css


text:
FILESEXTRAPATHS_prepend := "${THISDIR}/${PN}-${PV}:"

LINUX_VERSION ?= "4.10.0"

SRCREV = "9a05b87fb5c3caca8a4572d9d30b1f3ff69aa607"
SRC_URI = "git://github.com/Electron752/linux.git;branch=rpi-4.10.y+vchiq64-compat"

KERNEL_DEFCONFIG_raspberrypi2 = "bcmrpi3_defconfig"

require recipes-kernel/linux/linux-raspberrypi.inc

license: MIT

extension: bb


text:
#
# This file is the libjpeg recipe.
#

SUMMARY = "Simple libjpeg application"
SECTION = "PETALINUX/apps"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://${COMMON_LICENSE_DIR}/MIT;md5=0835ade698e0bcf8506ecda2f7b4f302"

SRC_URI = "http://www.ijg.org/files/jpegsrc.v9c.tar.gz"
SRC_URI[md5sum] = "93c62597eeef81a84d988bccbda1e990"

S = "${WORKDIR}/jpeg-9c"
CFLAGS_prepend ="-I ${S}/include"

inherit autotools


text:
function (req, res, next) {
      if (req.article.user.id != req.session.auth.userId) {
        req.flash('notice', 'You are not authorized');
        res.redirect('/article/'+req.article.id);
      }
      next()
    }

repository: AAI-USZ/FixJS

repo_name: AAI-USZ/FixJS

branch_name: refs/heads/main

extension: js


text:
include(FetchContent)

if (TARGET fmt)
    return()
endif()

FetchContent_Declare(fmt
    GIT_REPOSITORY https://github.com/fmtlib/fmt.git
    GIT_TAG f19b1a521ee8b606dedcadfda69fd10ddf882753  # 7.0.1
    GIT_SHALLOW ON
)

if (NOT fmt_POPULATED)
    FetchContent_GetProperties(fmt)
    FetchContent_Populate(fmt)
endif()

add_subdirectory(${fmt_SOURCE_DIR} ${fmt_BINARY_DIR})

repository: yourfate/windows-fido-bridge

repo_name: yourfate/windows-fido-bridge

extension: cmake


text:
import dom from './dom';

if (IS_DEV) {
  document.addEventListener('DOMContentLoaded', () => {
    const hello = dom().make('div')
      .inner('<h1>hello world </h1>')
      .nodes();

    const body = dom().get('body').nodes()[0];
    body.appendChild(hello);
  });
}

export default dom;

repository: ajmeyghani/dom

repo_name: ajmeyghani/dom


text:
@InProceedings{blanchard14,
  supplementary = {Supplementary:blanchard14-supp.pdf},
  section = {notable},
  title = {{Decontamination of Mutually Contaminated Models}},
  author = {Blanchard, Gilles and Scott, Clayton},
  pages = {1-9},
  abstract = {A variety of machine learning problems are characterized by   data sets that are drawn from multiple different convex   combinations of a fixed set of base distributions.  We call this a mutual contamination model.  In such problems, it is often of interest to   recover these base distributions, or otherwise discern   their properties. This work focuses on the problem of   classification with multiclass label noise, in a general   setting where the noise proportions are unknown and the   true class distributions are nonseparable and potentially   quite complex. We develop a procedure for decontamination   of the contaminated models from data, which then   facilitates the design of a consistent discrimination rule. Our   approach relies on a novel method for estimating the error   when projecting one distribution onto a convex combination   of others, where the projection is with respect to an   information divergence known as the separation distance.   Under sufficient conditions on the amount of noise and   purity of the base distributions, this projection procedure   successfully recovers the underlying class distributions. Connections to   novelty detection, topic modeling, and other learning problems are also   discussed.},
}

repository: mreid/papersite

repo_name: mreid/papersite

gha_license_id: MIT

gha_language: TeX

extension: bib


text:
% Encoding: UTF-8
@article{AvantsEtAl2008,
  author = {Avants, Brian B. and Epstein, Charles L. and Grossman, Murray C. and Gee, James C.},
  doi = {10.1016/j.media.2007.06.004},
  journal = {Medical Image Analysis},
  number = {1},
  pages = {26-41},
  shorttitle = {Symmetric Diffeomorphic Image Registration with Cross-Correlation},
  title = {Symmetric Diffeomorphic Image Registration with Cross-Correlation: Evaluating Automated Labeling of Elderly and Neurodegenerative Brain},
  volume = {12},
  year = {2008}
}

@article{BarnettSeth2015,
  title={Granger causality for state-space models},
  author={Barnett, Lionel and Seth, Anil K.},
  journal={Physical Review E},
  volume={91},
  number={4},
  pages={040101},
  year={2015},
  publisher={APS},
  doi={10.1103/PhysRevE.91.040101}
}

@article{BrunaEtAl2018,
  doi = {10.1088/1741-2552/aacfe4},
  year = {2018},
  publisher = {{IOP} Publishing},
  volume = {15},
  number = {5},
  pages = {056011},
  author = {Ricardo Bru{\~{n}}a, Fernando Maest{\'{u}}, Ernesto Pereda},
  title = {Phase locking value revisited: teaching new tricks to an old dog},
  journal = {Journal of Neural Engineering},
}

@article{ColcloughEtAl2015,
  title = {A symmetric multivariate leakage correction for {MEG} connectomes},
  volume = {117},
  issn = {1053-8119},
  doi = {10.1016/j.neuroimage.2015.03.071},
  language = {en},
  journal = {NeuroImage},
  author = {Colclough, G. L. and Brookes, M. J. and Smith, S. M. and Woolrich, M. W.},
  month = aug,
  year = {2015},
  pages = {439--448}
}

@book{CrochiereRabiner1983,
  address = {Englewood Cliffs, NJ},
  edition = {1 edition},
  title = {Multirate {Digital} {Signal} {Processing}},
  isbn = {978-0-13-605162-6},
  publisher = {Pearson},
  author = {Crochiere, Ronald E. and Rabiner, Lawrence R.},
  year = {1983}
}

@article{Dawson_2016,
   author={Dawson, Scott T. M. and Hemati, Maziar S. and Williams, Matthew O. and Rowley, Clarence W.},
   DOI={10.1007/s00348-016-2127-7},
   ISSN={1432-1114},
   journal={Experiments in Fluids},
   month={Feb},
   number={3},
   publisher={Springer Science and Business Media LLC},
   title={Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition},
   url={http://dx.doi.org/10.1007/s00348-016-2127-7},
   volume={57},
   year={2016},
}

@article{EwaldEtAl2012,
  title={Estimating true brain connectivity from {EEG/MEG} data invariant to linear and static transformations in sensor space},
  author={Ewald, Arne and Marzetti, Laura and Zappasodi, Filippo and Meinecke, Frank C. and Nolte, Guido},
  journal={NeuroImage},
  volume={60},
  number={1},
  pages={476--488},
  year={2012},
  publisher={Elsevier},
  doi={10.1016/j.neuroimage.2011.11.084}
}

@article{HaufeEtAl2013,
  title={A critical assessment of connectivity measures for EEG data: a simulation study},
  author={Haufe, Stefan and Nikulin, Vadim V and M{\"u}ller, Klaus-Robert and Nolte, Guido},
  journal={NeuroImage},
  volume={64},
  pages={120--133},
  year={2013},
  publisher={Elsevier},
  doi={10.1016/j.neuroimage.2012.09.036}
}

@article{HippEtAl2012,
  author = {Hipp, Joerg F and Hawellek, David J and Corbetta, Maurizio and Siegel, Markus and Engel, Andreas K},
  doi = {10.1038/nn.3101},
  journal = {Nature Neuroscience},
  number = {6},
  pages = {884-890},
  title = {Large-Scale Cortical Correlation Structure of Spontaneous Oscillatory Activity},
  volume = {15},
  year = {2012}
}

@article{KhanEtAl2018,
  author = {Khan, Sheraz and Hashmi, Javeria A. and Mamashli, Fahimeh and Michmizos, Konstantinos and Kitzbichler, Manfred G. and Bharadwaj, Hari and Bekhti, Yousra and Ganesan, Santosh and Garel, Keri-Lee A. and {Whitfield-Gabrieli}, Susan and Gollub, Randy L. and Kong, Jian and Vaina, Lucia M. and Rana, Kunjan D. and Stufflebeam, Steven M. and Hämäläinen, Matti S. and Kenet, Tal},
  doi = {10.1016/j.neuroimage.2018.02.018},
  journal = {NeuroImage},
  pages = {57-68},
  title = {Maturation Trajectories of Cortical Resting-State Networks Depend on the Mediating Frequency Band},
  volume = {174},
  year = {2018}
}

@article{KlimeschEtAl2004,
  title = {Phase-locked alpha and theta oscillations generate the P1–N1 complex and are related to memory performance},
  journal = {Cognitive Brain Research},
  volume = {19},
  number = {3},
  pages = {302-316},
  year = {2004},
  issn = {0926-6410},
  doi = {https://doi.org/10.1016/j.cogbrainres.2003.11.016},
  author = {Wolfgang Klimesch and Bärbel Schack and Manuel Schabus and Michael Doppelmayr and Walter Gruber and Paul Sauseng}
}

@article{LachauxEtAl1999,
  author = {Lachaux, Jean-Philippe and Rodriguez, Eugenio and Martinerie, Jacques and Varela, Francisco J.},
  doi = {10.1002/(SICI)1097-0193(1999)8:4<194::AID-HBM4>3.0.CO;2-C},
  journal = {Human Brain Mapping},
  number = {4},
  pages = {194-208},
  title = {Measuring Phase Synchrony in Brain Signals},
  volume = {8},
  year = {1999}
}

@INPROCEEDINGS{li_linear_2017,
  author = {Li, Adam and Gunnarsdottir, Kristin M. and Inati, Sara and Zaghloul, Kareem and Gale, John and Bulacio, Juan and Martinez-Gonzalez, Jorge and Sarma, Sridevi V.},
  booktitle = {2017 39th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)},
  title = {Linear time-varying model characterizes invasive EEG signals generated from complex epileptic networks},
  year = {2017},
  volume = {},
  number = {},
  pages = {2802-2805},
  doi = {10.1109/EMBC.2017.8037439}
}

@article{NolteEtAl2004,
  author = {Nolte, Guido and Bai, Ou and Wheaton, Lewis and Mari, Zoltan and Vorbach, Sherry and Hallett, Mark},
  doi = {10.1016/j.clinph.2004.04.029},
  journal = {Clinical Neurophysiology},
  number = {10},
  pages = {2292-2307},
  title = {Identifying True Brain Interaction from {{EEG}} Data Using the Imaginary Part of Coherency},
  volume = {115},
  year = {2004}
}

@article{NolteEtAl2008,
  author = {Nolte, Guido and Ziehe, Andreas and Nikulin, Vadim V. and Schlögl, Alois and Krämer, Nicole and Brismar, Tom and Müller, Klaus-Robert},
  doi = {10.1103/PhysRevLett.100.234101},
  journal = {Physical Review Letters},
  number = {23},
  title = {Robustly Estimating the Flow Direction of Information in Complex Physical Systems},
  volume = {100},
  year = {2008}
}

@book{OppenheimEtAl1999,
  address = {Upper Saddle River, NJ},
  edition = {2 edition},
  title = {Discrete-{Time} {Signal} {Processing}},
  isbn = {978-0-13-754920-7},
  publisher = {Prentice Hall},
  author = {Oppenheim, Alan V. and Schafer, Ronald W. and Buck, John R.},
  year = {1999}
}

@book{SekiharaNagarajan2008,
  address = {{Berlin; Heidelberg}},
  author = {Sekihara, Kensuke and Nagarajan, Srikantan S.},
  doi = {10.1007/978-3-540-79370-0},
  editor = {Nagel, Joachim H.},
  isbn = {978-3-540-79369-4 978-3-540-79370-0},
  publisher = {Springer},
  series = {Series in {{Biomedical Engineering}}},
  title = {Adaptive Spatial Filters for Electromagnetic Brain Imaging},
  year = {2008}
}

@article{SmithNichols2009,
  author = {Smith, Stephen M. and Nichols, Thomas E.},
  doi = {10.1016/j.neuroimage.2008.03.061},
  journal = {NeuroImage},
  number = {1},
  pages = {83-98},
  shorttitle = {Threshold-Free Cluster Enhancement},
  title = {Threshold-Free Cluster Enhancement: Addressing Problems of Smoothing, Threshold Dependence and Localisation in Cluster Inference},
  volume = {44},
  year = {2009}
}

@article{StamEtAl2007,
  author = {Stam, Cornelis J. and Nolte, Guido and Daffertshofer, Andreas},
  doi = {10.1002/hbm.20346},
  journal = {Human Brain Mapping},
  number = {11},
  pages = {1178-1193},
  shorttitle = {Phase Lag Index},
  title = {Phase Lag Index: Assessment of Functional Connectivity from Multi Channel {{EEG}} and {{MEG}} with Diminished Bias from Common Sources},
  volume = {28},
  year = {2007}
}

@article{StamEtAl2012,
  title={Go with the flow: Use of a directed phase lag index (dPLI) to characterize patterns of phase relations in a large-scale model of brain dynamics},
  volume={62},
  ISSN={1053-8119},
  DOI={10.1016/j.neuroimage.2012.05.050},
  number={3},
  journal={NeuroImage},
  author={Stam, C. J. and van Straaten, E. C. W.},
  year={2012},
  month={Sep},
  pages={1415–1428}
}

@article{VanVeenEtAl1997,
  author = {Van Veen, Barry D. and {van Drongelen}, Wim and Yuchtman, Moshe and Suzuki, Akifumi},
  doi = {10.1109/10.623056},
  journal = {IEEE Transactions on Biomedical Engineering},
  number = {9},
  pages = {867-880},
  title = {Localization of Brain Electrical Activity via Linearly Constrained Minimum Variance Spatial Filtering},
  volume = {44},
  year = {1997}
}

@article{vanVlietEtAl2018,
  author = {{van Vliet}, Marijn and Liljeström, Mia and Aro, Susanna and Salmelin, Riitta and Kujala, Jan},
  doi = {10.1101/245530},
  journal = {bioRxiv},
  shorttitle = {Analysis of Functional Connectivity and Oscillatory Power Using {{DICS}}},
  title = {Analysis of Functional Connectivity and Oscillatory Power Using {{DICS}}: From Raw {{MEG}} Data to Group-Level Statistics in {{Python}}},
  year = {2018}
}

@article{VidaurreEtAl2019,
  title={Canonical maximization of coherence: a novel tool for investigation of neuronal interactions between two datasets},
  author={Vidaurre, Carmen and Nolte, Guido and de Vries, Ingmar E.J. and G{\'o}mez, M. and Boonstra, Tjeerd W. and M{\"u}ller, K.-R. and Villringer, Arno and Nikulin, Vadim V.},
  journal={NeuroImage},
  volume={201},
  pages={116009},
  year={2019},
  publisher={Elsevier},
  doi={10.1016/j.neuroimage.2019.116009}
}

@article{VinckEtAl2010,
  author = {Vinck, Martin and {van Wingerden}, Marijn and Womelsdorf, Thilo and Fries, Pascal and Pennartz, Cyriel M.A.},
  doi = {10.1016/j.neuroimage.2010.01.073},
  journal = {NeuroImage},
  number = {1},
  pages = {112-122},
  shorttitle = {The Pairwise Phase Consistency},
  title = {The Pairwise Phase Consistency: A Bias-Free Measure of Rhythmic Neuronal Synchronization},
  volume = {51},
  year = {2010}
}

@article{VinckEtAl2011,
  author = {Vinck, Martin and Oostenveld, Robert and {van Wingerden}, Marijn and Battaglia, Franscesco and Pennartz, Cyriel M.A.},
  doi = {10.1016/j.neuroimage.2011.01.055},
  journal = {NeuroImage},
  number = {4},
  pages = {1548-1565},
  title = {An Improved Index of Phase-Synchronization for Electrophysiological Data in the Presence of Volume-Conduction, Noise and Sample-Size Bias},
  volume = {55},
  year = {2011}
}

@article{VinckEtAl2015,
  title={How to detect the Granger-causal flow direction in the presence of additive noise?},
  author={Vinck, Martin and Huurdeman, Lisanne and Bosman, Conrado A and Fries, Pascal and Battaglia, Francesco P and Pennartz, Cyriel MA and Tiesinga, Paul H},
  journal={NeuroImage},
  volume={108},
  pages={301--318},
  year={2015},
  publisher={Elsevier},
  doi={10.1016/j.neuroimage.2014.12.017}
}

@article{Whittle1963,
  title={On the fitting of multivariate autoregressions, and the approximate canonical factorization of a spectral density matrix},
  author={Whittle, Peter},
  journal={Biometrika},
  volume={50},
  number={1-2},
  pages={129--134},
  year={1963},
  publisher={Oxford University Press},
  doi={10.1093/biomet/50.1-2.129}
}

@article{WinklerEtAl2016,
  title={Validity of time reversal for testing Granger causality},
  author={Winkler, Irene and Panknin, Danny and Bartz, Daniel and M{\"u}ller, Klaus-Robert and Haufe, Stefan},
  journal={IEEE Transactions on Signal Processing},
  volume={64},
  number={11},
  pages={2746--2760},
  year={2016},
  publisher={IEEE},
  doi={10.1109/TSP.2016.2531628}
}

@article{Yao2001,
  title = {A method to standardize a reference of scalp {EEG} recordings to a point at infinity},
  volume = {22},
  issn = {0967-3334},
  doi = {10.1088/0967-3334/22/4/305},
  number = {4},
  journal = {Physiological Measurement},
  author = {Yao, D.},
  year = {2001},
  pmid = {11761077},
  pages = {693--711}
}

@article{Zimmermann2022,
  author = {Zimmermann, Marius and Lomoriello, Arianna Schiano and Konvalinka, Ivana},
  doi = {10.1098/rsos.211352},
  issn = {20545703},
  journal = {Royal Society Open Science},
  number = {2},
  publisher = {The Royal Society},
  title = {{Intra-individual behavioural and neural signatures of audience effects and interactions in a mirror-game paradigm}},
  url = {https://royalsocietypublishing.org/doi/10.1098/rsos.211352},
  volume = {9},
  year = {2022}
}

repository: mne-tools/mne-connectivity

repo_name: mne-tools/mne-connectivity

gha_language: Python


text:
@article{megchelenbrink2014optgpsampler,
  title={{optGpSampler}: an improved tool for uniformly sampling the solution-space of genome-scale metabolic networks},
  author={Megchelenbrink, Wout and Huynen, Martijn and Marchiori, Elena},
  journal={PloS one},
  volume={9},
  number={2},
  pages={e86587},
  year={2014},
  publisher={Public Library of Science},
  doi={10.1371/journal.pone.0086587},
}

@article{guebila2018dynamic,
  title={Dynamic load balancing enables large-scale flux variability analysis},
  author={Guebila, Marouen Ben},
  journal={bioRxiv},
  pages={440701},
  year={2018},
  publisher={Cold Spring Harbor Laboratory},
  doi={10.1101/440701},
}

@inproceedings{nickolls2008scalable,
  title={Scalable parallel programming},
  author={Nickolls, John and Buck, Ian and Garland, Michael},
  booktitle={2008 IEEE Hot Chips 20 Symposium (HCS)},
  pages={40--53},
  year={2008},
  organization={IEEE},
  doi={10.1145/1365490.1365500},
}

@article{kaufman1998direction,
  title={Direction choice for accelerated convergence in hit-and-run sampling},
  author={Kaufman, David E and Smith, Robert L},
  journal={Operations Research},
  volume={46},
  number={1},
  pages={84--95},
  year={1998},
  publisher={INFORMS},
  doi={10.1287/opre.46.1.84},
}

@InProceedings{VBCG_HPCS14,
   author =       {S. Varrette and P. Bouvry and H. Cartiaux and F. Georgatos},
   title =        {Management of an Academic {HPC} Cluster: The {UL} Experience},
   booktitle =    {Proc. of the 2014 Intl. Conf. on High Performance Computing \& Simulation (HPCS 2014)},
   year =         {2014},
   pages =        {959--967},
   month =        {July},
   address =      {Bologna, Italy},
   publisher =    {IEEE},
   doi={10.1109/hpcsim.2014.6903792},
}

@article{heirendt2019creation,
  title={Creation and analysis of biochemical constraint-based models using the {COBRA} Toolbox v. 3.0},
  author={Heirendt, Laurent and Arreckx, Sylvain and Pfau, Thomas and Mendoza, Sebasti{\'a}n N and Richelle, Anne and Heinken, Almut and Haraldsd{\'o}ttir, Hulda S and Wachowiak, Jacek
and Keating, Sarah M and Vlasov, Vanja and others},
  journal={Nature protocols},
  pages={1},
  year={2019},
  publisher={Nature Publishing Group},
  doi={10.1038/s41596-018-0098-2},
}

@article{o2015using,
  title={Using genome-scale models to predict biological capabilities},
  author={O'Brien, Edward J and Monk, Jonathan M and Palsson, Bernhard O},
  journal={Cell},
  volume={161},
  number={5},
  pages={971--987},
  year={2015},
  publisher={Elsevier},
  doi={10.1016/j.cell.2015.05.019},
}

@article{mahadevan2003effects,
  title={The effects of alternate optimal solutions in constraint-based genome-scale metabolic models},
  author={Mahadevan, R and Schilling, CH},
  journal={Metabolic engineering},
  volume={5},
  number={4},
  pages={264--276},
  year={2003},
  publisher={Elsevier},
  doi={10.1016/j.ymben.2003.09.002},
}

@article{dagum1998openmp,
  title={{OpenMP}: An industry-standard {API} for shared-memory programming},
  author={Dagum, Leonardo and Menon, Ramesh},
  journal={Computing in Science \& Engineering},
  number={1},
  pages={46--55},
  year={1998},
  publisher={IEEE},
  doi={10.1109/99.660313},
}

@article{mahadevan2005applications,
  doi = {10.1007/bf02989823},
  year = 2005,
  month = oct,
  volume = {10},
  number = {5},
  pages = {408--417},
  author = {Radhakrishnan Mahadevan and Anthony P. Burgard and Iman Famili and Steve Van Dien and Christophe H. Schilling},
  title = {Applications of metabolic modeling to drive bioprocess development for the production of value-added chemicals},
  journal = {Biotechnology and Bioprocess Engineering}
}

@article{thiele2013community,
  doi = {10.1038/nbt.2488},
  year = 2013,
  month = mar,
  publisher = {Springer Nature},
  volume = {31},
  number = {5},
  pages = {419--425},
  author = {Ines Thiele and Neil Swainston and Ronan M T Fleming and Andreas Hoppe and Swagatika Sahoo and Maike K Aurich and Hulda Haraldsdottir and Monica L Mo and Ottar Rolfsson and Miranda D Stobbe and Stefan G Thorleifsson and Rasmus Agren and Christian B\"{o}lling and Sergio Bordel and Arvind K Chavali and Paul Dobson and Warwick B Dunn and Lukas Endler and David Hala and Michael Hucka and Duncan Hull and Daniel Jameson and Neema Jamshidi and Jon J Jonsson and Nick Juty and Sarah Keating and Intawat Nookaew and Nicolas Le Nov{\`{e}}re and Naglis Malys and Alexander Mazein and Jason A Papin and Nathan D Price and Evgeni Selkov and Martin I Sigurdsson and Evangelos Simeonidis and Nikolaus Sonnenschein and Kieran Smallbone and Anatoly Sorokin and Johannes H G M van Beek and Dieter Weichart and Igor Goryanin and Jens Nielsen and Hans V Westerhoff and Douglas B Kell and Pedro Mendes and Bernhard {\O} Palsson},
  title = {A community-driven global reconstruction of human metabolism},
  journal = {Nature Biotechnology}
}

@article{orth2010reconstruction,
  doi = {10.1128/ecosalplus.10.2.1},
  year = {2010},
  month = sep,
  volume = {4},
  number = {1},
  author = {Jeffrey D. Orth and Bernhard {\O}. Palsson and R. M. T. Fleming},
  title = {Reconstruction and Use of Microbial Metabolic Networks: the Core {Escherichia coli} Metabolic Model as an Educational Guide},
  journal = {{EcoSal} Plus}
}

@article{nogales2008genome,
  doi = {10.1186/1752-0509-2-79},
  year = {2008},
  volume = {2},
  number = {1},
  pages = {79},
  author = {Juan Nogales and Bernhard {\O} Palsson and Ines Thiele},
  title = {A genome-scale metabolic reconstruction of Pseudomonas putida {KT}2440: {iJN}746 as a cell factory},
  journal = {{BMC} Systems Biology}
}

@incollection{li2011gpu,
  title={A {GPU}-based parallel algorithm for large scale linear programming problem},
  author={Li, Jianming and Lv, Renping and Hu, Xiangpei and Jiang, Zhongqiang},
  booktitle={Intelligent Decision Technologies},
  pages={37--46},
  year={2011},
  publisher={Springer},
  doi={10.1007/978-3-642-22194-1_4}
}

@inproceedings{gurung2019simultaneous,
  title={Simultaneous solving of batched linear programs on a {GPU}},
  author={Gurung, Amit and Ray, Rajarshi},
  booktitle={Proceedings of the 2019 ACM/SPEC International Conference on Performance Engineering},
  pages={59--66},
  year={2019},
  organization={ACM},
  doi={10.1145/3297663.3310308}
}

@article{charlton2019two,
  title={Two-dimensional batch linear programming on the {GPU}},
  author={Charlton, John and Maddock, Steve and Richmond, Paul},
  journal={Journal of Parallel and Distributed Computing},
  volume={126},
  pages={152--160},
  year={2019},
  publisher={Elsevier},
  doi={10.1016/j.jpdc.2019.01.001}
}


text:
@article{marchenko_geographical_2016,
	title = {Geographical {Stability} of {Generation} {Frequency} {Norms} for {Russian} {Language}},
	copyright = {Attribution 4.0 International (CC BY 4.0)},
	issn = {2313-0288},
	url = {http://rulb.org/en/article/geograficheskaya-stabilnost-kategorialnyx-norm-dlya-russkogo-yazyka/},
	doi = {10.18454/RULB.8.25},
	language = {en},
	number = {4 (8)},
	urldate = {2021-03-17},
	journal = {Russian Linguistic Bulletin},
	author = {Marchenko, O.P. and Bandurka, T.N. and Pavlov, Y. G.},
	month = dec,
	year = {2016},
	note = {Number: №4 (8) 2016},
	pages = {12--16},
	file = {O.p et al_2016_Russian Linguistic Bulletin.pdf:C\:\\Users\\Pavlov\\Zotero\\storage\\W265KKB5\\O.p et al_2016_Russian Linguistic Bulletin.pdf:application/pdf;Snapshot:C\:\\Users\\Pavlov\\Zotero\\storage\\HZN86V87\\geograficheskaya-stabilnost-kategorialnyx-norm-dlya-russkogo-yazyka.html:text/html}
}

repository: ugpavlov/yurigpavlovcom

repo_name: ugpavlov/yurigpavlovcom


text:
@inproceedings{NEURIPS2021_747d3443,
 author = {Rao, Yongming and Zhao, Wenliang and Liu, Benlin and Lu, Jiwen and Zhou, Jie and Hsieh, Cho-Jui},
 booktitle = {Advances in Neural Information Processing Systems},
 editor = {M. Ranzato and A. Beygelzimer and Y. Dauphin and P.S. Liang and J. Wortman Vaughan},
 pages = {13937--13949},
 publisher = {Curran Associates, Inc.},
 title = {DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification},
 url = {https://proceedings.neurips.cc/paper/2021/file/747d3443e319a22747fbb873e8b2f9f2-Paper.pdf},
 volume = {34},
 year = {2021}
}

url: https://raw.githubusercontent.com/rbt-c/DL-NLP-Readings/82ca76e9184a3b00ac87129d99391477c85cfcd2/Bibtex/DynamicViT - Efficient Vision Transformers with  Dynamic Token Sparsification.bib

repository: rbt-c/DL-NLP-Readings

repo_name: rbt-c/DL-NLP-Readings


text:
DESCRIPTION = "The Python Programming Language"
HOMEPAGE = "http://www.python.org"
LICENSE = "PSF"
SECTION = "devel/python"
PRIORITY = "optional"
DEPENDS = ""
PR = "ml1"

EXCLUDE_FROM_WORLD = "1"

SRC_URI = "http://www.python.org/ftp/python/${PV}/Python-${PV}.tar.bz2 \
           file://bindir-libdir.patch;patch=1 \
           file://cross-distutils.patch;patch=1 \
           file://dont-modify-shebang-line.patch;patch=1 \
           file://default-is-optimized.patch;patch=1 \
           file://ares-ubuntu-11.10.patch;patch=1"
S = "${WORKDIR}/Python-${PV}"

inherit autotools native

prefix = "${STAGING_DIR}/${BUILD_SYS}"
exec_prefix = "${STAGING_DIR}/${BUILD_SYS}"

EXTRA_OECONF = "--with-threads --with-pymalloc --with-cyclic-gc \
                --without-cxx --with-signal-module --with-wctype-functions"
EXTRA_OEMAKE = 'BUILD_SYS="" HOST_SYS=""'

#do_configure() {
#	# the autofoo stuff is too old to allow regenerating
#	oe_runconf
#}

do_stage_append() {
	install -m 0755 Parser/pgen ${STAGING_DIR}/${BUILD_SYS}/bin/
}


text:
@inproceedings{zhang2020optimal,
  title={Optimal control under communication constraints for multi-agent unmanned vehicles},
  author={Zhang, Daniel and Bailey, Colleen P},
  booktitle={Artificial Intelligence and Machine Learning in Defense Applications II},
  volume={11543},
  pages={115430J},
  year={2020},
  organization={International Society for Optics and Photonics}
}

gha_language: HTML


text:
require optee-examples-fio.inc

SRCREV = "ff4b493e267d40bcf508acc300da296a3a2adac2"

repository: doanac/meta-lmp

repo_name: doanac/meta-lmp


text:
@InProceedings{hoffman14,
  supplementary = {Supplementary:hoffman14-supp.pdf},
  title = {{On correlation and budget constraints in model-based bandit optimization with application to automatic machine learning}},
  author = {Hoffman, Matthew and Shahriari, Bobak and de Freitas, Nando},
  pages = {365-374},
  abstract = {We address the problem of finding the maximizer of a nonlinear function that can only be evaluated, subject to noise, at a finite number of query locations. Further, we will assume that there is a constraint on the total number of permitted function evaluations. We introduce a Bayesian approach for this problem and show that it empirically outperforms both the existing frequentist counterpart and other Bayesian optimization methods. The Bayesian approach places emphasis on detailed modelling, including the modelling of correlations among the arms. As a result, it can perform well in situations where the number of arms is much larger than the number of allowed function evaluation, whereas the frequentist counterpart is inapplicable. This feature enables us to develop and deploy practical applications, such as automatic machine learning toolboxes. The paper presents comprehensive comparisons of the proposed approach with many Bayesian and bandit optimization techniques, the first comparison of many of these methods in the literature.},
}


text:
# The set of languages for which implicit dependencies are needed:
set(CMAKE_DEPENDS_LANGUAGES
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# The set of files for implicit dependencies of each language:
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text:
const errorUtils = require('../../../../utils/error.utils');

/**
 * @name exports.personResolver
 * @static
 * @summary Person Resolver.
 */
module.exports.personResolver = function personResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

/**
 * @name exports.personListResolver
 * @static
 * @summary Person List Resolver.
 */
module.exports.personListResolver = function personListResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

/**
 * @name exports.personInstanceResolver
 * @static
 * @summary Person Instance Resolver.
 */
module.exports.personInstanceResolver = function personInstanceResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

/**
 * @name exports.personCreateResolver
 * @static
 * @summary Person Create Resolver.
 */
module.exports.personCreateResolver = function personCreateResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

/**
 * @name exports.personUpdateResolver
 * @static
 * @summary Person Update Resolver.
 */
module.exports.personUpdateResolver = function personUpdateResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

/**
 * @name exports.personDeleteResolver
 * @static
 * @summary Person Delete Resolver.
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module.exports.personDeleteResolver = function personDeleteResolver (root, args, context, info) {
	let { server, req, res, version } = context;
	return {};
};

repository: rafmos/graphql-fhir

repo_name: rafmos/graphql-fhir


text:
import React from 'react';
import PropTypes from 'prop-types';
import Heart from 'react-icons/lib/go/heart';
import Github from 'react-icons/lib/go/mark-github';
import { FooterWrapper, FooterField, UpdateButton, SpeedSelector, Credits } from './styled';

const Footer = ({
  colValue,
  rowValue,
  cellSizeValue,
  speedValue,
  updateColValue,
  updateRowValue,
  updateCellSizeValue,
  updateSpeedValue,
  handleClickButton,
}) => (
  <FooterWrapper>

      <FooterField>
        Columns: <input value={colValue} onChange={updateColValue} />
      </FooterField>
      <FooterField>
        Rows: <input value={rowValue} onChange={updateRowValue} />
      </FooterField>
      <FooterField>
        Cell Size: <input value={cellSizeValue} onChange={updateCellSizeValue} />
      </FooterField>
      <UpdateButton onClick={handleClickButton}>
        Update
      </UpdateButton>

    <SpeedSelector>
      Speed:
      <select value={speedValue} onChange={updateSpeedValue}>
        <option value="50">Lightspeed</option>
        <option value="100">Fast</option>
        <option value="250">Medium</option>
        <option value="500">Kind of slow</option>
        <option value="1000">Boring</option>
      </select>
    </SpeedSelector>
    <Credits>

Made with <Heart />

View on Github <Github />

    </Credits>
  </FooterWrapper>
);
Footer.propTypes = {
  colValue: PropTypes.string.isRequired,
  rowValue: PropTypes.string.isRequired,
  cellSizeValue: PropTypes.string.isRequired,
  speedValue: PropTypes.string.isRequired,
  updateColValue: PropTypes.func.isRequired,
  updateRowValue: PropTypes.func.isRequired,
  updateCellSizeValue: PropTypes.func.isRequired,
  updateSpeedValue: PropTypes.func.isRequired,
  handleClickButton: PropTypes.func.isRequired,
};

export default Footer;

repository: cprass/game-of-life

repo_name: cprass/game-of-life

extension: jsx


text:
@article{2017du4,
 abstract = {It is challenging to hierarchically pattern high-aspect-ratio nanostructures on microstructures using conventional lithographic techniques, where photoresist (PR) film is not able to uniformly cover on the microstructures as the aspect ratio increases. Such non-uniformity causes poor definition of nanopatterns over the microstructures. Nanostencil lithography can provide an alternative means to hierarchically construct nanostructures on microstructures via direct deposition or plasma etching through a free-standing nanoporous membrane. In this work, we demonstrate the multiscale hierarchical fabrication of high-aspect-ratio nanostructures on microstructures of silicon using a free-standing nanostencil, which is a nanoporous membrane consisting of metal (Cr), PR, and anti-reflective coating. The nanostencil membrane is used as a deposition mask to define Cr nanodot patterns on the predefined silicon microstructures. Then, deep reactive ion etching is used to hierarchically create nanostructures on the microstructures using the Cr nanodots as an etch mask. With simple modification of the main fabrication processes, high-aspect-ratio nanopillars are selectively defined only on top of the microstructures, on bottom, or on both top and bottom.},
 author = {Ke Du and Junjun Ding and Ishan Wathuthanthri and Chang-Hwan Choi},
 date = {2017-01-01},
 journal = {Nanotechnology},
 keywords = {nanomanufacturing},
 number = {46},
 pages = {465303},
 publisher = {IOP Publishing},
 pubstate = {published},
 title = {Selective hierarchical patterning of silicon nanostructures via soft nanostencil lithography},
 tppubtype = {article},
 url = {http://iopscience.iop.org/article/10.1088/1361-6528/aa8ce8/meta},
 volume = {28},
 year = {2017}
}

repository: JunjunDing/jding-academic-kickstart

repo_name: JunjunDing/jding-academic-kickstart


text:
.name{
font-style: italic;
}

.song{
font-style: italic;
color: cornflowerblue;
}

.album{
font-style: italic;
color: rgb(51, 51, 211);
}
.playdates{
  float: left;
  background-color: cornflowerblue;
  width: 30%;
  padding: 4px;
  margin: 4px;
  height: 210px;
  border-width: 2px;
  border-color:rgb(51, 51, 211);
  border-style:solid;
}

body{
  background-image: url(https://images.unsplash.com/photo-1522441815192-d9f04eb0615c?ixlib=rb-1.2.1&ixid=eyJhcHBfaWQiOjEyMDd9&auto=format&fit=crop&w=582&q=80);
}

.photo2{
float: right;
padding: 2px;
}

.photo3{
float: left;
padding: 2px;
}

.photo4{
  float: right;
  padding: 2px;
}

h4{
  font-family: Arial, Helvetica, sans-serif;
  font-size: 21px;
  text-align: center;
}

repository: jakechustz/myfirstwebpage

repo_name: jakechustz/myfirstwebpage


text:
# The set of languages for which implicit dependencies are needed:
set(CMAKE_DEPENDS_LANGUAGES
  "CXX"
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# The set of files for implicit dependencies of each language:
set(CMAKE_DEPENDS_CHECK_CXX
  "/home/jvalencia/workspace/evpp/evpp/buffer.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/buffer.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/connector.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/connector.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/dns_resolver.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/dns_resolver.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/duration.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/duration.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/event_loop.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/event_loop.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/event_loop_thread.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/event_loop_thread.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/event_loop_thread_pool.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/event_loop_thread_pool.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/event_watcher.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/event_watcher.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/fd_channel.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/fd_channel.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/http/context.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/http/context.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/http/http_server.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/http/http_server.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/http/service.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/http/service.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/httpc/conn.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/httpc/conn.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/httpc/conn_pool.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/httpc/conn_pool.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/httpc/request.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/httpc/request.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/httpc/response.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/httpc/response.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/httpc/url_parser.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/httpc/url_parser.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/inner_pre.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/inner_pre.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/invoke_timer.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/invoke_timer.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/libevent_compact.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/libevent_compact.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/listener.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/listener.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/sockets.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/sockets.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/tcp_client.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/tcp_client.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/tcp_conn.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/tcp_conn.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/tcp_server.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/tcp_server.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/udp/sync_udp_client.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/udp/sync_udp_client.cc.o"
  "/home/jvalencia/workspace/evpp/evpp/udp/udp_server.cc" "/home/jvalencia/workspace/evpp/cmake-build-debug/evpp/CMakeFiles/evpp_boost_static.dir/udp/udp_server.cc.o"
  )
set(CMAKE_CXX_COMPILER_ID "GNU")

# Preprocessor definitions for this target.
set(CMAKE_TARGET_DEFINITIONS_CXX
  "H_HAVE_BOOST=1"
  )

# The include file search paths:
set(CMAKE_CXX_TARGET_INCLUDE_PATH
  "../"
  "../3rdparty"
  )

# Targets to which this target links.
set(CMAKE_TARGET_LINKED_INFO_FILES
  )

# Fortran module output directory.
set(CMAKE_Fortran_TARGET_MODULE_DIR "")

repository: jvalenciag/evpp

repo_name: jvalenciag/evpp


text:
#.rst:
# FindNumPy
#
# Find the include directory for numpy/arrayobject.h
#
# Result Variables
# ^^^^^^^^^^^^^^^^
#
# This module sets the following variables:
#
# ``NUMPY_FOUND``
# True, if the system has NumPy.
# ``NUMPY_INCLUDE_DIR``
# The directory with numpy/arrayobject.h

# handle the QUIETLY and REQUIRED arguments and set NUMPY_FOUND to TRUE if
# all listed variables are TRUE

if(NOT NUMPY_FOUND)
  find_package(PythonInterp)
  find_package(PythonLibs)

  if(PYTHON_EXECUTABLE)
    execute_process(COMMAND "${PYTHON_EXECUTABLE}"
      -c "import numpy; print(numpy.get_include())"
      OUTPUT_VARIABLE _numpy_include_dir
      OUTPUT_STRIP_TRAILING_WHITESPACE
      ERROR_QUIET
      )
  endif()
endif()

find_path(NUMPY_INCLUDE_DIR
  numpy/arrayobject.h
  PATHS "${_numpy_include_dir}" "${PYTHON_INCLUDE_DIR}"
  PATH_SUFFIXES numpy/core/include
  )

include(FindPackageHandleStandardArgs)
FIND_PACKAGE_HANDLE_STANDARD_ARGS(NUMPY
                                  REQUIRED_VARS NUMPY_INCLUDE_DIR
                                  )

mark_as_advanced(NUMPY_INCLUDE_DIR)

gha_language: Jupyter Notebook


text:
@article{1991_paper,
 ISSN = {01621459},
 URL = {http://www.jstor.org/stable/2290563},
 author = {Ker-Chau Li},
 journal = {Journal of the American Statistical Association},
 number = {414},
 pages = {316--327},
 publisher = {[American Statistical Association, Taylor & Francis, Ltd.]},
 title = {Sliced Inverse Regression for Dimension Reduction},
 volume = {86},
 year = {1991}
}

@article{tan2018convex,
  title={A convex formulation for high-dimensional sparse sliced inverse regression},
  author={Tan, Kean Ming and Wang, Zhaoran and Zhang, Tong and Liu, Han and Cook, R Dennis},
  journal={Biometrika},
  volume={105},
  number={4},
  pages={769--782},
  year={2018},
  publisher={Oxford University Press}
}

@article{zhang2011unified,
  title={A unified primal-dual algorithm framework based on Bregman iteration},
  author={Zhang, Xiaoqun and Burger, Martin and Osher, Stanley},
  journal={Journal of Scientific Computing},
  volume={46},
  number={1},
  pages={20--46},
  year={2011},
  publisher={Springer}
}

@article{朱利平2007切片逆回归的样条逼近,
  title={切片逆回归的样条逼近},
  author={朱利平 and 於州},
  journal={中国科学A辑},
  year={2007},
}


text:
@InProceedings{nguyen_tuong10a,
  title = {Incremental Sparsification for Real-time Online Model Learning},
  author = {Duy Nguyen–Tuong and Jan Peters},
  pages = {557--564},
  abstract = {Online model learning in real-time is required by many applications, for example, robot tracking control. It poses a difficult problem, as fast and incremental online regression with large data sets is the essential component and cannot be realized by straightforward usage of off-the-shelf machine learning methods such as Gaussian process regression or support vector regression. In this paper, we propose a framework for online, incremental sparsification with a fixed budget designed for large scale real-time model learning. The proposed approach combines a sparsification method based on an independency measure with a large scale database. In combination with an incremental learning approach such as sequential support vector regression, we obtain a regression method which is applicable in real-time online learning. It exhibits competitive learning accuracy when compared with standard regression techniques. Implementation on a real robot emphasizes the applicability of the proposed approach in real-time online model learning for real world systems.},
  pdf = {http://jmlr.org/proceedings/papers/v9/nguyen_tuong10a/nguyen_tuong10a.pdf},
}


text:
import React from 'react';
import { Datagrid, DateField, TextField } from 'react-admin';
import { makeStyles, useTheme } from '@material-ui/core/styles';

import ProductReferenceField from '../products/ProductReferenceField';
import CustomerReferenceField from '../visitors/CustomerReferenceField';
import StarRatingField from './StarRatingField';

import rowStyle from './rowStyle';

const useListStyles = makeStyles({
    headerRow: {
        borderLeftColor: 'white',
        borderLeftWidth: 5,
        borderLeftStyle: 'solid',
    },
    headerCell: {
        padding: '6px 8px 6px 8px',
    },
    rowCell: {
        padding: '6px 8px 6px 8px',
    },
    comment: {
        maxWidth: '18em',
        overflow: 'hidden',
        textOverflow: 'ellipsis',
        whiteSpace: 'nowrap',
    },
});

const ReviewListDesktop = props => {
    const classes = useListStyles();
    const theme = useTheme();
    return (
        <Datagrid
            rowClick="edit"
            rowStyle={rowStyle(props.selectedRow, theme)}
            classes={{
                headerRow: classes.headerRow,
                headerCell: classes.headerCell,
                rowCell: classes.rowCell,
            }}
            optimized
            {...props}
        >
            <DateField source="date" />
            <CustomerReferenceField link={false} />
            <ProductReferenceField link={false} />
            <StarRatingField size="small" />
            <TextField source="comment" cellClassName={classes.comment} />
            <TextField source="status" />
        </Datagrid>
    );
};

export default ReviewListDesktop;

repository: coderofsalvation/react-admin

repo_name: coderofsalvation/react-admin


text:
#
# Base recipe: meta/recipes-kernel/kexec/kexec-tools_2.0.4.bb
# Base branch: daisy
#

SUMMARY = "Kexec fast reboot tools"
DESCRIPTION = "Kexec is a fast reboot feature that lets you reboot to a new Linux kernel"
AUTHOR = "Eric Biederman"
HOMEPAGE = "http://kernel.org/pub/linux/utils/kernel/kexec/"

PR = "r0"

DEBIAN_GIT_BRANCH = "stretch-master"
inherit debian-package
PV = "2.0.14"

LICENSE = "GPLv2"
LIC_FILES_CHKSUM = " \
file://COPYING;md5=ea5bed2f60d357618ca161ad539f7c0a \
file://kexec/kexec.c;beginline=1;endline=20;md5=af10f6ae4a8715965e648aa687ad3e09"

inherit autotools-brokensep

EXTRA_OECONF = "--sbindir=${base_sbindir}"

# Install files follow Debian.
do_install_append () {
	# Install init script
	install -d ${D}${sysconfdir}/init.d
	install -m 0755 ${S}/debian/kexec.init.d ${D}${sysconfdir}/init.d/kexec
	install -m 0755 ${S}/debian/kexec-load.init.d ${D}${sysconfdir}/init.d/kexec-load
}

# kexec_test uses 32-bit code for testing - add an INSANE_SKIP exception for it.
INSANE_SKIP_${PN} = "arch"

repository: meta-debian/meta-debian-extra

repo_name: meta-debian/meta-debian-extra

branch_name: refs/heads/morty

gha_language: BitBake


text:
@inproceedings{zechner2012,
  title={Using automatic speech recognition to assess the reading proficiency of a diverse sample of middle school students},
  author={Zechner, Klaus and Evanini, Keelan and Laitusis, Cara},
  booktitle={Third Workshop on Child, Computer and Interaction},
  year={2012},
  url={https://www.isca-speech.org/archive/wocci_2012/wc12_045.html}
}

repository: jnese/core-blog

repo_name: jnese/core-blog


text:
TOOLCHAIN_HOST_TASK = "task-arago-toolchain-gst-host"
TOOLCHAIN_TARGET_TASK = "task-arago-toolchain-gst-target"

require meta-toolchain-arago-dvsdk.bb

PR = "r13"

SDK_SUFFIX = "gst-sdk"


text:
@ARTICLE{8941010,
  author={A. F. {Abate} and P. {Barra} and S. {Barra} and C. {Molinari} and M. {Nappi} and F. {Narducci}},
  journal={IEEE Access},
  title={Clustering Facial Attributes: Narrowing the Path From Soft to Hard Biometrics},
  year={2020},
  volume={8},
  number={},
  pages={9037-9045},
  doi={10.1109/ACCESS.2019.2962010}}


text:
SECTION = "devel/chicken"
DESCRIPTION = "Procedures to ease the generation of some frequently used [X]HTML/SXML structures"
LICENSE = "BSD"
LIC_FILES_CHKSUM = "file://html-utils.meta;md5=853a82baebc676b58c852a858a48dd5f"
DEPENDS_append_class-cross = " chicken-egg-html-tags-cross"
DEPENDS_append_class-crosssdk = " chicken-egg-html-tags-crosssdk"
DEPENDS_append_class-nativesdk = " nativesdk-chicken-egg-html-tags chicken-egg-html-tags-crosssdk"
DEPENDS = " chicken-egg-html-tags chicken-egg-html-tags-cross"
RDEPENDS_${PN} = " chicken-egg-html-tags"

SRC_URI = "http://code.call-cc.org/egg-tarballs/4/html-utils/html-utils-${PV}.tar.gz"

SRC_URI[md5sum] = "7a8a85f11aa03529b686468599606db6"
SRC_URI[sha256sum] = "a39a7e85cf11c55671fefa38f5af11fdd7d6f9d6f98fa837321e61226e862b77"

S = "${WORKDIR}/html-utils-${PV}"

inherit chicken_install

BBCLASSEXTEND = "cross crosssdk nativesdk"

repository: OSSystems/meta-chicken

repo_name: OSSystems/meta-chicken


text:
@INBOOK{Garces09Handbook,
pages = {179-190},
title = {Open Source Workflow Management Systems: A Concise Survey},
publisher = {Future Strategies Inc.},
year = {2009},
author = {Garc\^{e}s, Ricardo and Jesus, Tony de and Cardoso, Jorge and Valente,	Pedro},
address = {Lighthouse Point, FL, USA},
booktitle = {2009 BPM \& Workflow Handbook},
issn = {978-0-9777527-9-9},
keywords = {SAP},
owner = {Jorge Cardoso},
refid = {207},
timestamp = {2010.08.26},
webpdf = {/Papers/BC-2009-026-WorkflowHandbook-Open-Source-WfMS.pdf}}


text:
@inproceedings{madeira:sw-fault-injection:dsn2000,
title={On the emulation of software faults by software fault injection},
author={Madeira, H. and Costa, D. and Vieira, M.},
crossref = {dsn00},
pages={417--426},
}

@inproceedings{alvisi:dynamic-byzantine-quorums:dsn2000,
author={Alvisi, L. and Malkhi, D. and Pierce, E. and Reiter, M.K. and Wright, R.N.},
journal={Dependable Systems and Networks, 2000. DSN 2000. Proceedings International Conference on},
title={Dynamic {B}yzantine quorum systems},
year={2000},
month={},
volume={},
number={},
pages={283 -292},
keywords={dynamic byzantine quorum systems;efficient low-threshold mode;fault-tolerant replicated services;protocols;quorum-based Byzantine fault-tolerant data service;resilience threshold;server failures;server faults;static threshold limit;distributed shared memory systems;fault tolerant computing;},
doi={10.1109/ICDSN.2000.857551},
ISSN={},}

@inproceedings{goodson:efficient-byzantine-tolerant-erasure-coded-storage:dsn2004,
title={Efficient {B}yzantine-tolerant erasure-coded storage},
author={Goodson, G.R. and Wylie, J.J. and Ganger, G.R. and Reiter, M.K.},
crossref = {dsn04},
pages={135--144},
abstract={ This paper describes a decentralized consistency protocol for survivable storage that exploits local data versioning within each storage-node. Such versioning enables the protocol to efficiently provide linearizability and wait-freedom of read and write operations to erasure-coded data in asynchronous environments with Byzantine failures of clients and servers. By exploiting versioning storage-nodes, the protocol shifts most work to clients and allows highly optimistic operation: reads occur in a single round-trip unless clients observe concurrency or write failures. Measurements of a storage system prototype using this protocol show that it scales well with the number of failures tolerated, and its performance compares favorably with an efficient implementation of Byzantine-tolerant state machine replication.},
}

@inproceedings{cachin:optimal-resilience-for-erasure-coded-byzantine-distributed-storage:dsn2006,
  author    = {Christian Cachin and Stefano Tessaro},
  title     = {Optimal resilience for erasure-coded {B}yzantine distributed storage},
  crossref = {dsn06},
  pages     = {115--124},
  ee        = {http://www.zurich.ibm.com/~cca/papers/atomic.pdf},
  abstract = {We analyze the problem of efficient distributed storage of information in a message-passing environment where both less than one third of the servers, as well as an arbitrary number of clients, might exhibit Byzantine behavior, and where clients might access data concurrently. In particular, we provide a simulation of a multiple-writer multiple-reader atomic read/write register in this setting which uses erasure-coding for storage-efficiency and achieves optimal resilience. Additionally, we give the first implementation of non-skipping timestamps which provides optimal resilience and withstands Byzantine clients; it is based on threshold cryptography.}
}

@INPROCEEDINGS{schroeder:failures-in-hpc:dsn2006,
title={A large-scale study of failures in high-performance computing systems},
author={Schroeder, B. and Gibson, G.A.},
crossref = {dsn06},
pages={249-258},
abstract={Designing highly dependable systems requires a good understanding of failure characteristics. Unfortunately, little raw data on failures in large IT installations is publicly available. This paper analyzes failure data recently made publicly available by one of the largest high-performance computing sites. The data has been collected over the past 9 years at Los Alamos National Laboratory and includes 23000 failures recorded on more than 20 different systems, mostly large clusters of SMP and NUMA nodes. We study the statistics of the data, including the root cause of failures, the mean time between failures, and the mean time to repair. We find for example that average failure rates differ wildly across systems, ranging from 20-1000 failures per year, and that time between failures is modeled well by a Weibull distribution with decreasing hazard rate. From one system to another, mean repair time varies from less than an hour to more than a day, and repair times are well modeled by a lognormal distribution},
doi={10.1109/DSN.2006.5},
ISSN={},
}

@inproceedings{anderson:phh:dsn2010,
title = "Efficient eventual consistency in {Pahoehoe}, an erasure-coded key-blob archive",
author = "Anderson, E. and Li, X. and Merchant, A. and Shah, M. A. and Smathers, K. and Tucek, J. and Uysal, M. and Wylie, J. J.",
crossref = {dsn10},
pages = "181--190",
}

repository: dataseries/Lintel

repo_name: dataseries/Lintel

gha_language: Perl


text:
DESCRIPTION = "Extended task to get System Test specific apps"
LICENSE = "MIT"
PR = "r3"

inherit task

# those ones can be set in machine config to supply packages needed to get machine booting
MACHINE_ESSENTIAL_EXTRA_RDEPENDS ?= ""
MACHINE_ESSENTIAL_EXTRA_RRECOMMENDS ?= ""

ARAGO_TEST = "\
    bonnie++ \
    hdparm \
    iozone3 \
    iperf \
    lmbench \
    rt-tests \
    evtest \
    bc \
    "

ARAGO_TI_TEST = "\
    ltp-ddt \
    "

RDEPENDS_${PN} = "\
    ${ARAGO_TEST} \
    ${ARAGO_TI_TEST} \
    ${MACHINE_ESSENTIAL_EXTRA_RDEPENDS} \
    "

RRECOMMENDS_${PN} = "\
    ${MACHINE_ESSENTIAL_EXTRA_RRECOMMENDS} \
    "


text:
DESCRIPTION = "GStreamer elements to use the TI DSP C66 in multimedia applications"
HOMEPAGE = "http://software-dl.ti.com/mctools/docs/opencl/intro.html"
LICENSE = "BSD-3-Clause"
LIC_FILES_CHKSUM = "file://COPYING;md5=2827f94fc0a1adeff4d9702e97ce2979"

SRCREV = "0db24f44b49ad673bcebce5d25a63ea41551ebec"
SRC_URI = "git://git.ti.com/processor-sdk/gst-plugin-dsp66.git;protocol=git;branch=master"
S = "${WORKDIR}/git"

COMPATIBLE_MACHINE = "dra7xx|keystone"

DEPENDS = "gstreamer1.0 gstreamer1.0-plugins-base opencl ti-cgt6x-native clocl-native imglib-c66x vlib-c66x"
inherit autotools-brokensep pkgconfig gettext
PR = "r1"

RDEPENDS_${PN} += " opencl-runtime"
RDEPENDS_${PN}-dev += " libgomp-dev"
FILES_SOLIBSDEV = ""

B = "${S}"

EXTRA_OEMAKE = " TARGET_ROOTDIR=${STAGING_DIR_HOST} \
                 TI_OCL_CGT_INSTALL=${STAGING_DIR_NATIVE}/usr/share/ti/cgt-c6x \
"

do_configure() {
	cd ${S}
	chmod +x autogen.sh
	./autogen.sh --host=arm-linux --with-libtool-sysroot=${STAGING_DIR_TARGET} --prefix=/usr
}

EXTRA_OECONF += "--enable-maintainer-mode"
EXTRA_OEMAKE += "'ERROR_CFLAGS=-Wno-deprecated-declarations'"

FILES_${PN} += "${libdir}/gstreamer-1.0/*.so"
FILES_${PN}-dbg += "${libdir}/gstreamer-1.0/.debug"
FILES_${PN}-dev += "${libdir}/gstreamer-1.0/*.la"

FILES_${PN} += "${libdir}/*.so"
FILES_${PN}-dbg += "${libdir}/.debug"
FILES_${PN}-dev += "${libdir}/*.la"

INSANE_SKIP_${PN} = "ldflags"
INSANE_SKIP_${PN}-dbg = "ldflags"
INSANE_SKIP_${PN}-dev = "ldflags"


text:
require recipes-graphics/xorg-app/xorg-app-common.inc

SUMMARY = "X.Org X11 X client utilities"
HOMEPAGE = "http://cgit.freedesktop.org/xorg/app/xlsclients/"
DESCRIPTION = "xlsclients is a utility for listing information about the \
client applications running on a X11 server."
SECTION = "x11/app"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://COPYING;md5=350e1b718a56df39cfe8ca9345ea4575"

BBCLASSEXTEND = "native"

SRC_URI[md5sum] = "4fa92377e0ddc137cd226a7a87b6b29a"
SRC_URI[sha256sum] = "773f2af49c7ea2c44fba4213bee64325875c1b3c9bc4bbcd8dac9261751809c1"

repository: openembedded/meta-openembedded

repo_name: openembedded/meta-openembedded


text:
//pega a altura e largura do viewport
var viewportH = verge.viewportH();
var viewportW = verge.viewportW();

//seta uma referência para o stylesheet a ser utilizado no próprio documento
var styleTag = document.getElementById ("dynamicStyle");
var sheet = styleTag.sheet ? styleTag.sheet : styleTag.styleSheet;

//função que adiciona as tags html e seus atributos css dentro do style
function addCSSRule(sheet, selector, rules, index){
    if("insertRule" in sheet) {
        sheet.insertRule(selector + "{" + rules + "}", index);
    }
    else if("addRule" in sheet) {
        sheet.addRule(selector, rules, index);
    }
}

/*-------------- SPLASHSCREEN --------------*/
if(document.querySelector("#logoSplashScreen")){

    if(viewportW <= 360){
        var logoSplashWidth = viewportW - 120;
        addCSSRule(sheet, '#logoSplashScreen', 'width: '+logoSplashWidth+'px; margin-left: 60px;', 0);
        var logoSplashHeight = document.querySelector("#logoSplashScreen").height;
        var logoSplashMarginTop = (viewportH - logoSplashHeight) / 2
        addCSSRule(sheet, '#logoSplashScreen', 'margin-top: '+logoSplashMarginTop+'px;', 0);
    }else{
        //var logoSplashHeight = document.querySelector("#logoSplashScreen").height;
        var logoSplashMarginTop = (viewportH - 150) / 2;
        var logoSplashMarginLeft = (viewportW - 240) / 2;
        addCSSRule(sheet, '#logoSplashScreen', 'width: 240px; margin-left: '+logoSplashMarginLeft+'px; margin-top: '+logoSplashMarginTop+'px', 0);
    }

    window.addEventListener("resize", function() {

        //pega a altura e largura do viewport no momento do rezize
        viewportH = verge.viewportH();
        viewportW = verge.viewportW();

        var element = document.querySelector("#logoSplashScreen");

        if(viewportW <= 360){
            var logoSplashWidth = viewportW - 120;
            element.style.width = logoSplashWidth+'px';
            element.style.marginLeft = '60px';

            var logoSplashHeight = document.querySelector("#logoSplashScreen").height;
            var logoSplashMarginTop = (viewportH - logoSplashHeight) / 2;

            element.style.marginTop = logoSplashMarginTop+'px';
        }else{
            var logoSplashMarginTop = (viewportH - 150) / 2;
            var logoSplashMarginLeft = (viewportW - 240) / 2;

            element.style.width = '240px';
            element.style.marginLeft = logoSplashMarginLeft+'px';
            element.style.marginTop = logoSplashMarginTop+'px';
        }

    }, false);

}

/*-------------- TELA INICIAL --------------*/
if(document.querySelector("#sem-edital")){

    // posicionamento da div report no meio da tela
    var divSemEdital = document.querySelector("#sem-edital");
    var divReport = document.querySelector(".report");
    var divSemEditalH = divSemEdital.clientHeight;

    //(altura do container - altura do botão - altura da divReport) / 2
    divReport.style.marginTop = (divSemEditalH - 56 - divReport.clientHeight) / 2 + "px";

    // posicionamento do botão no meio da tela
    if(viewportW > 416){
        document.querySelector(".bt-busca-editais").style.marginLeft = (viewportW - 416) / 2 + "px";
        document.querySelector(".bt-busca-editais").style.marginRight = (viewportW - 416) / 2 + "px";
    }

    window.addEventListener("resize", function() {

        // posicionamento da div report no meio da tela
        var divSemEdital = document.querySelector("#sem-edital");
        var divReport = document.querySelector(".report");
        var divSemEditalH = divSemEdital.clientHeight;

        divReport.style.marginTop = (divSemEditalH - 56 - divReport.clientHeight) / 2 + "px";

        //pega a largura do viewport no momento do rezize
        var viewportW = verge.viewportW();

        // posicionamento do botão no meio da tela
        if(viewportW > 416){
            document.querySelector(".bt-busca-editais").style.marginLeft = (viewportW - 416) / 2 + "px";
            document.querySelector(".bt-busca-editais").style.marginRight = (viewportW - 416) / 2 + "px";
        }else{
            document.querySelector(".bt-busca-editais").style.marginLeft = 0 + "px";
            document.querySelector(".bt-busca-editais").style.marginRight = 0 + "px";
        }

    }, false);

}

/*-------------- BUSCA EDITAL --------------*/
if(document.querySelector("#busca-edital")){

    // posicionamento do botão no meio da tela
    if(viewportW > 416){
        document.querySelector("#busca-edital input[type=submit]").style.marginLeft = (viewportW - 416) / 2 + "px";
        document.querySelector("#busca-edital input[type=submit]").style.marginRight = (viewportW - 416) / 2 + "px";
    }

    window.addEventListener("resize", function() {

        //pega a largura do viewport no momento do rezize
        var viewportW = verge.viewportW();

        // posicionamento do botão no meio da tela
        if(viewportW > 416){
            document.querySelector("#busca-edital input[type=submit]").style.marginLeft = (viewportW - 416) / 2 + "px";
            document.querySelector("#busca-edital input[type=submit]").style.marginRight = (viewportW - 416) / 2 + "px";
        }else{
            document.querySelector("#busca-edital input[type=submit]").style.marginLeft = 0 + "px";
            document.querySelector("#busca-edital input[type=submit]").style.marginRight = 0 + "px";
        }

    }, false);

}

/*-------------- EDITAL --------------*/
if(document.querySelector("#calendario")){

    //ajusta a largura para caber o ícone da seta indicando que tem mais coisas
    //conta = tamanho do viewport - pixels de sobra do inline-block - margem do ícone - largura do ícone
    if(document.getElementsByClassName('item-calendario')[0] != null){
        for(var i = 0; i < document.getElementsByClassName('item-calendario').length; i++){
            document.getElementsByClassName('item-calendario')[i].firstElementChild.style.width = viewportW - 16 - 4 - 8 - 14 + "px";
        }
    }

    window.addEventListener("resize", function() {

        //pega a largura do viewport no momento do rezize
        var viewportW = verge.viewportW();

        if(document.getElementsByClassName('item-calendario')[0] != null){
            for(var i = 0; i < document.getElementsByClassName('item-calendario').length; i++){
                document.getElementsByClassName('item-calendario')[i].firstElementChild.style.width = viewportW - 16 - 4 - 8 - 14 + "px";
            }
        }

    }, false);

}

/*-------------- TAREFAS --------------*/
if(document.querySelector(".lista-calendario")){

    //ajusta a largura para caber o ícone da seta indicando que tem mais coisas
    //conta = tamanho do viewport - pixels de sobra do inline-block - margem do ícone - largura do ícone
    if(document.getElementsByClassName('item-tarefas')[0] != null){
        for(var i = 0; i < document.getElementsByClassName('item-tarefas').length; i++){
            document.getElementsByClassName('item-tarefas')[i].firstElementChild.style.width = viewportW - 16 - 4 - 8 - 14 + "px";
        }
    }

    window.addEventListener("resize", function() {

        //pega a largura do viewport no momento do rezize
        var viewportW = verge.viewportW();

        if(document.getElementsByClassName('item-tarefas')[0] != null){
            for(var i = 0; i < document.getElementsByClassName('item-tarefas').length; i++){
                document.getElementsByClassName('item-tarefas')[i].firstElementChild.style.width = viewportW - 16 - 4 - 8 - 14 + "px";
            }
        }

    }, false);

}

repository: joaopandolfi/Resimed

repo_name: joaopandolfi/Resimed