text:
u, Y. and Yan, Y. and Nejabati, R. and Zervas, G. and Simeonidou, D. and Vilalta, R. and Munoz, R. and Casellas, R. and Martinez, R. and Lopez, V. and Aguado, A. and Beltran, J.},
  year = {2014},
  month = aug,
  volume = {33},
  pages = {609--617},
  issn = {0733-8724},
  doi = {10.1109/JLT.2014.2351852},
  abstract = {A multi-domain and multi-technology optical network orchestration is demonstrated in an international testbed located in Japan, the UK and Spain. The Application-Based Network Operations (ABNO) architecture is proposed as a carrier Software-Defined Network (SDN) solution for provisioning end-to-end optical transport services through a multi-domain multi-technology network scenario, consisting of a 46-108 Gb/s variable-capacity OpenFlow-capable optical packet switching network and a programmable, flexi-grid elastic optical path network.},
  copyright = {All rights reserved},
  file = {/Users/sy13201/Zotero/storage/FIU5I8BH/Yoshida et al_2014_SDN-based Network Orchestration of Variable-capacity Optical Packet Switching.pdf;/Users/sy13201/Zotero/storage/M4KFQJ9C/articleDetails.html},
  journal = {Journal of Lightwave Technology},
  keywords = {high-speed optical techniques,Optical buffering,Optical fiber networks,optical packet switching,optical switches,Optical transmitters,Payloads},
  number = {3}
}

@inproceedings{yu_impact_2011,
  title = {Impact of Phase Noise on Coherent {{BPSK}} Homodyne Systems in Long-Haul Optical Fiber Communications},
  booktitle = {Proceedings of {{SPIE}}},
  author = {Yu, G. and Xie, X. and Zhao, W. and Wang, W. and Yan, S.},
  year = {2011},
  volume = {8331},
  pages = {83310R},
  copyright = {All rights reserved},
  file = {/Users/sy13201/Zotero/storage/M76Q3QRN/83310R_1.html;/Users/sy13201/Zotero/storage/WSTGU35X/proceeding.html}
}

@inproceedings{zhengguang_gao_ann-based_2019,
  title = {{{ANN}}-{{Based Multi}}-{{Channel QOT}}-{{Prediction}} over a 563.4-Km {{Field}}-{{Trial Testbed}}},
  booktitle = {{{ECOC}} 2019},
  author = {{Zhengguang Gao} and {Shuangyi Yan} and {Jiawei Zhang} and {Marcus Mascarenhas} and {Reza Nejabati} and {Yuefeng Ji} and {Dimitra Simeonidou}},
  year = {2019},
  month = sep,
  pages = {Paper Th.1.E.4},
  address = {{Dublin}},
  file = {/Users/sy13201/Zotero/storage/I9A5VSCB/Gao et al. - ANN-BASED MULTI-CHANNEL QOT-PREDICTION OVER A 563..pdf}
}

@inproceedings{zhu_3.36-tbit/s_2017,
  title = {3.36-{{Tbit}}/s {{OAM}} and {{Wavelength Multiplexed Transmission}} over an {{Inverse}}-{{Parabolic Graded Index Fiber}}},
  booktitle = {Conference on {{Lasers}} and {{Electro}}-{{Optics}} (2017), Paper {{SW4I}}.3},
  author = {Zhu, Jiangbo and Wang, Xuyang and Yan, Shuangyi and Ou, Yanni and Hu, Ziyang and Messaddeq, Youn{\`e}s and LaRochelle, Sophie and Rusch, Leslie A. and Simeonidou, Dimitra and Yu, Siyuan},
  year = {2017},
  month = may,
  pages = {SW4I.3},
  publisher = {{Optical Society of America}},
  doi = {10.1364/CLEO_SI.2017.SW4I.3},
  abstract = {We demonstrate MIMO-free two-dimensional multiplexing, transmission and de-multiplexing over 4 OAM modes (including two modes of |l| = 2) and 15 wavelengths through 100-meter inverse-parabolic graded-index fiber with aggregated total capacity of 3.36-Tbit/s.},
  copyright = {\textcopyright{} 2017 OSA},
  file = {/Users/sy13201/Zotero/storage/JADY4RGK/abstract.html},
  keywords = {Fiber optics,Multiplexing,Optical vortices},
  language = {EN}
}

license: MIT

license_type: permissive

branch_name: refs/heads/master

extension: bib


text:
DESCRIPTION = "ARM Trusted Firmware"
LICENSE = "BSD-3-Clause"
LIC_FILES_CHKSUM = "file://license.rst;md5=c709b197e22b81ede21109dbffd5f363"

DEPENDS = "u-boot openssl-native zip-native"
DEPENDS += " ${@bb.utils.contains("MACHINE_FEATURES", "optee", "optee-os", "", d)}"

SRC_URI = "git://github.com/ARM-software/arm-trusted-firmware.git"

PV = "2.0+git${SRCPV}"
SRCREV = "34efb683e32254b8c325ac3071c5776d243a7b99"

S = "${WORKDIR}/git"

inherit deploy

do_compile[depends] += "u-boot:do_deploy optee-os:do_deploy"

COMPATIBLE_MACHINE = "(qemuarm64)"

PLATFORM = "${MACHINE}"
PLATFORM_qemuarm64 = "qemu"

EXTRA_OEMAKE = "CROSS_COMPILE=${TARGET_PREFIX} \
    DEBUG=0 \
    LOG_LEVEL=30 \
"
EXTRA_OEMAKE_append_qemuarm64 = " \
    BL32=${DEPLOY_DIR_IMAGE}/optee/tee-header_v2.bin \
    BL32_EXTRA1=${DEPLOY_DIR_IMAGE}/optee/tee-pager_v2.bin \
    BL32_EXTRA2=${DEPLOY_DIR_IMAGE}/optee/tee-pageable_v2.bin \
    BL33=${DEPLOY_DIR_IMAGE}/u-boot.bin \
    ARM_TSP_RAM_LOCATION=tdram \
    BL32_RAM_LOCATION=tdram \
    SPD=opteed \
"

CFLAGS[unexport] = "1"
LDFLAGS[unexport] = "1"
AS[unexport] = "1"
LD[unexport] = "1"

do_compile() {
    oe_runmake PLAT=${PLATFORM} all fip
}

do_install() {
    install -d ${D}${libdir}/atf
    for f in bl1.bin bl2.bin bl31.bin fip.bin; do
        install -p -m 644 ${S}/build/${PLATFORM}/release/${f} ${D}${libdir}/atf
    done
}

do_deploy() {
    install -d ${DEPLOYDIR}/atf
    cp -a ${D}${libdir}/atf/*.bin ${DEPLOYDIR}/atf
}

do_deploy_append_qemuarm64() {
    ln -sf ../optee/tee-header_v2.bin ${DEPLOYDIR}/atf/bl32.bin
    ln -sf ../optee/tee-pager_v2.bin ${DEPLOYDIR}/atf/bl32_extra1.bin
    ln -sf ../optee/tee-pageable_v2.bin ${DEPLOYDIR}/atf/bl32_extra2.bin
    ln -sf ../u-boot.bin ${DEPLOYDIR}/atf/bl33.bin
}

addtask deploy after do_install

FILES_${PN} += "${libdir}/atf/*.bin"
INSANE_SKIP_${PN} += "installed-vs-shipped"

extension: bb


text:
The entry is missing a comma after the editor field
@article{key,
    author  = {Author},
    title   = {Title},
    editor  = {Editor}
    journal = {Journal},
    year    = 2000
}

repository: MisanthropicBit/bibpy

repo_name: MisanthropicBit/bibpy

gha_language: TeX


text:
SUMMARY = "GENIVI AudioManager Monitor"
DESCRIPTION = "Monitor APP of the GENIVI AudioManager"

LICENSE = "MPLv2"
LIC_FILES_CHKSUM = "file://LICENSE;md5=815ca599c9df247a0c7f619bab123dad"
DEPENDS = "qtbase qtdeclarative pulseaudio audiomanager"

BRANCH="master"

SRC_URI = "\
    git://git.projects.genivi.org/AudioManagerDemo.git;branch=${BRANCH} \
    file://AudioManager_Monitor.service \
    "
SRCREV = "1036480253ede59809d466a536974f9ca3cb2f61"

S = "${WORKDIR}/git"

PATCHTOOL = "git"

QMAKE_PROFILES = "${S}/"

inherit qmake5

do_install_append() {
    mkdir -p ${D}/etc/systemd/user
    cp ${WORKDIR}/AudioManager_Monitor.service ${D}/etc/systemd/user
}

INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
INHIBIT_PACKAGE_STRIP = "1"

FILES_${PN} += "/opt/AudioManagerMonitor/*"
FILES_${PN}-dbg += "/usr/bin/AudioManagerMonitor/.debug/*"

repository: TizenTeam/meta-genivi-demo

repo_name: TizenTeam/meta-genivi-demo

branch_name: refs/heads/GENIVI-AMM-handson


text:
0	0.5
0.000500501	0.4994995
0.001001001	0.498998999
0.001501502	0.498498499
0.002002002	0.497997998
0.002502503	0.497497498
0.003003003	0.496996997
0.003503504	0.496496497
0.004004004	0.495995996
0.004504505	0.495495496
0.005005005	0.494994995
0.005505506	0.494494495
0.006006006	0.493993994
0.006506507	0.493493494
0.007007007	0.492992993
0.007507508	0.492492493
0.008008008	0.491991992
0.008508509	0.491491492
0.009009009	0.490990991
0.00950951	0.490490491
0.01001001	0.48998999
0.010510511	0.48948949
0.011011011	0.488988989
0.011511512	0.488488489
0.012012012	0.487987988
0.012512513	0.487487488
0.013013013	0.486986987
0.013513514	0.486486487
0.014014014	0.485985986
0.014514515	0.485485486
0.015015015	0.484984985
0.015515516	0.484484485
0.016016016	0.483983984
0.016516517	0.483483484
0.017017017	0.482982983
0.017517518	0.482482483
0.018018018	0.481981982
0.018518519	0.481481482
0.019019019	0.480980981
0.01951952	0.480480481
0.02002002	0.47997998
0.020520521	0.47947948
0.021021021	0.478978979
0.021521522	0.478478479
0.022022022	0.477977978
0.022522523	0.477477478
0.023023023	0.476976977
0.023523524	0.476476477
0.024024024	0.475975976
0.024524525	0.475475476
0.025025025	0.474974975
0.025525526	0.474474475
0.026026026	0.473973974
0.026526527	0.473473474
0.027027027	0.472972973
0.027527528	0.472472473
0.028028028	0.471971972
0.028528529	0.471471472
0.029029029	0.470970971
0.02952953	0.470470471
0.03003003	0.46996997
0.030530531	0.46946947
0.031031031	0.468968969
0.031531532	0.468468469
0.032032032	0.467967968
0.032532533	0.467467468
0.033033033	0.466966967
0.033533534	0.466466467
0.034034034	0.465965966
0.034534535	0.465465466
0.035035035	0.464964965
0.035535536	0.464464465
0.036036036	0.463963964
0.036536537	0.463463464
0.037037037	0.462962963
0.037537538	0.462462463
0.038038038	0.461961962
0.038538539	0.461461462
0.039039039	0.460960961
0.03953954	0.460460461
0.04004004	0.45995996
0.040540541	0.45945946
0.041041041	0.458958959
0.041541542	0.458458459
0.042042042	0.457957958
0.042542543	0.457457458
0.043043043	0.456956957
0.043543544	0.456456457
0.044044044	0.455955956
0.044544545	0.455455456
0.045045045	0.454954955
0.045545546	0.454454455
0.046046046	0.453953954
0.046546547	0.453453454
0.047047047	0.452952953
0.047547548	0.452452453
0.048048048	0.451951952
0.048548549	0.451451452
0.049049049	0.450950951
0.04954955	0.450450451
0.05005005	0.44994995
0.050550551	0.449449449
0.051051051	0.448948949
0.051551552	0.448448448
0.052052052	0.447947948
0.052552553	0.447447447
0.053053053	0.446946947
0.053553554	0.446446446
0.054054054	0.445945946
0.054554555	0.445445445
0.055055055	0.444944945
0.055555556	0.444444444
0.056056056	0.443943944
0.056556557	0.443443443
0.057057057	0.442942943
0.057557558	0.442442442
0.058058058	0.441941942
0.058558559	0.441441441
0.059059059	0.440940941
0.05955956	0.44044044
0.06006006	0.43993994
0.060560561	0.439439439
0.061061061	0.438938939
0.061561562	0.438438438
0.062062062	0.437937938
0.062562563	0.437437437
0.063063063	0.436936937
0.063563564	0.436436436
0.064064064	0.435935936
0.064564565	0.435435435
0.065065065	0.434934935
0.065565566	0.434434434
0.066066066	0.433933934
0.066566567	0.433433433
0.067067067	0.432932933
0.067567568	0.432432432
0.068068068	0.431931932
0.068568569	0.431431431
0.069069069	0.430930931
0.06956957	0.43043043
0.07007007	0.42992993
0.070570571	0.429429429
0.071071071	0.428928929
0.071571572	0.428428428
0.072072072	0.427927928
0.072572573	0.427427427
0.073073073	0.426926927
0.073573574	0.426426426
0.074074074	0.425925926
0.074574575	0.425425425
0.075075075	0.424924925
0.075575576	0.424424424
0.076076076	0.423923924
0.076576577	0.423423423
0.077077077	0.422922923
0.077577578	0.422422422
0.078078078	0.421921922
0.078578579	0.421421421
0.079079079	0.420920921
0.07957958	0.42042042
0.08008008	0.41991992
0.080580581	0.419419419
0.081081081	0.418918919
0.081581582	0.418418418
0.082082082	0.417917918
0.082582583	0.417417417
0.083083083	0.416916917
0.083583584	0.416416416
0.084084084	0.415915916
0.084584585	0.415415415
0.085085085	0.414914915
0.085585586	0.414414414
0.086086086	0.413913914
0.086586587	0.413413413
0.087087087	0.412912913
0.087587588	0.412412412
0.088088088	0.411911912
0.088588589	0.411411411
0.089089089	0.410910911
0.08958959	0.41041041
0.09009009	0.40990991
0.090590591	0.409409409
0.091091091	0.408908909
0.091591592	0.408408408
0.092092092	0.407907908
0.092592593	0.407407407
0.093093093	0.406906907
0.093593594	0.406406406
0.094094094	0.405905906
0.094594595	0.405405405
0.095095095	0.404904905
0.095595596	0.404404404
0.096096096	0.403903904
0.096596597	0.403403403
0.097097097	0.402902903
0.097597598	0.402402402
0.098098098	0.401901902
0.098598599	0.401401401
0.099099099	0.400900901
0.0995996	0.4004004
0.1001001	0.3998999
0.100600601	0.399399399
0.101101101	0.398898899
0.101601602	0.398398398
0.102102102	0.397897898
0.102602603	0.397397397
0.103103103	0.396896897
0.103603604	0.396396396
0.104104104	0.395895896
0.104604605	0.395395395
0.105105105	0.394894895
0.105605606	0.394394394
0.106106106	0.393893894
0.106606607	0.393393393
0.107107107	0.392892893
0.107607608	0.392392392
0.108108108	0.391891892
0.108608609	0.391391391
0.109109109	0.390890891
0.10960961	0.39039039
0.11011011	0.38988989
0.110610611	0.389389389
0.111111111	0.388888889
0.111611612	0.388388388
0.112112112	0.387887888
0.112612613	0.387387387
0.113113113	0.386886887
0.113613614	0.386386386
0.114114114	0.385885886
0.114614615	0.385385385
0.115115115	0.384884885
0.115615616	0.384384384
0.116116116	0.383883884
0.116616617	0.383383383
0.117117117	0.382882883
0.117617618	0.382382382
0.118118118	0.381881882
0.118618619	0.381381381
0.119119119	0.380880881
0.11961962	0.38038038
0.12012012	0.37987988
0.120620621	0.379379379
0.121121121	0.378878879
0.121621622	0.378378378
0.122122122	0.377877878
0.122622623	0.377377377
0.123123123	0.376876877
0.123623624	0.376376376
0.124124124	0.375875876
0.124624625	0.375375375
0.125125125	0.374874875
0.125625626	0.374374374
0.126126126	0.373873874
0.126626627	0.373373373
0.127127127	0.372872873
0.127627628	0.372372372
0.128128128	0.371871872
0.128628629	0.371371371
0.129129129	0.370870871
0.12962963	0.37037037
0.13013013	0.36986987
0.130630631	0.369369369
0.131131131	0.368868869
0.131631632	0.368368368
0.132132132	0.367867868
0.132632633	0.367367367
0.133133133	0.366866867
0.133633634	0.366366366
0.134134134	0.365865866
0.134634635	0.365365365
0.135135135	0.364864865
0.135635636	0.364364364
0.136136136	0.363863864
0.136636637	0.363363363
0.137137137	0.362862863
0.137637638	0.362362362
0.138138138	0.361861862
0.138638639	0.361361361
0.139139139	0.360860861
0.13963964	0.36036036
0.14014014	0.35985986
0.140640641	0.359359359
0.141141141	0.358858859
0.141641642	0.358358358
0.142142142	0.357857858
0.142642643	0.357357357
0.143143143	0.356856857
0.143643644	0.356356356
0.144144144	0.355855856
0.144644645	0.355355355
0.145145145	0.354854855
0.145645646	0.354354354
0.146146146	0.353853854
0.146646647	0.353353353
0.147147147	0.352852853
0.147647648	0.352352352
0.148148148	0.351851852
0.148648649	0.351351351
0.149149149	0.350850851
0.14964965	0.35035035
0.15015015	0.34984985
0.150650651	0.349349349
0.151151151	0.348848849
0.151651652	0.348348348
0.152152152	0.347847848
0.152652653	0.347347347
0.153153153	0.346846847
0.153653654	0.346346346
0.154154154	0.345845846
0.154654655	0.345345345
0.155155155	0.344844845
0.155655656	0.344344344
0.156156156	0.343843844
0.156656657	0.343343343
0.157157157	0.342842843
0.157657658	0.342342342
0.158158158	0.341841842
0.158658659	0.341341341
0.159159159	0.340840841
0.15965966	0.34034034
0.16016016	0.33983984
0.160660661	0.339339339
0.161161161	0.338838839
0.161661662	0.338338338
0.162162162	0.337837838
0.162662663	0.337337337
0.163163163	0.336836837
0.163663664	0.336336336
0.164164164	0.335835836
0.164664665	0.335335335
0.165165165	0.334834835
0.165665666	0.334334334
0.166166166	0.333833834
0.166666667	0.333333333
0.167167167	0.332832833
0.167667668	0.332332332
0.168168168	0.331831832
0.168668669	0.331331331
0.169169169	0.330830831
0.16966967	0.33033033
0.17017017	0.32982983
0.170670671	0.329329329
0.171171171	0.328828829
0.171671672	0.328328328
0.172172172	0.327827828
0.172672673	0.327327327
0.173173173	0.326826827
0.173673674	0.326326326
0.174174174	0.325825826
0.174674675	0.325325325
0.175175175	0.324824825
0.175675676	0.324324324
0.176176176	0.323823824
0.176676677	0.323323323
0.177177177	0.322822823
0.177677678	0.322322322
0.178178178	0.321821822
0.178678679	0.321321321
0.179179179	0.320820821
0.17967968	0.32032032
0.18018018	0.31981982
0.180680681	0.319319319
0.181181181	0.318818819
0.181681682	0.318318318
0.182182182	0.317817818
0.182682683	0.317317317
0.183183183	0.316816817
0.183683684	0.316316316
0.184184184	0.315815816
0.184684685	0.315315315
0.185185185	0.314814815
0.185685686	0.314314314
0.186186186	0.313813814
0.186686687	0.313313313
0.187187187	0.312812813
0.187687688	0.312312312
0.188188188	0.311811812
0.188688689	0.311311311
0.189189189	0.310810811
0.18968969	0.31031031
0.19019019	0.30980981
0.190690691	0.309309309
0.191191191	0.308808809
0.191691692	0.308308308
0.192192192	0.307807808
0.192692693	0.307307307
0.193193193	0.306806807
0.193693694	0.306306306
0.194194194	0.305805806
0.194694695	0.305305305
0.195195195	0.304804805
0.195695696	0.304304304
0.196196196	0.303803804
0.196696697	0.303303303
0.197197197	0.302802803
0.197697698	0.302302302
0.198198198	0.301801802
0.198698699	0.301301301
0.199199199	0.300800801
0.1996997	0.3003003
0.2002002	0.2997998
0.200700701	0.299299299
0.201201201	0.298798799
0.201701702	0.298298298
0.202202202	0.297797798
0.202702703	0.297297297
0.203203203	0.296796797
0.203703704	0.296296296
0.204204204	0.295795796
0.204704705	0.295295295
0.205205205	0.294794795
0.205705706	0.294294294
0.206206206	0.293793794
0.206706707	0.293293293
0.207207207	0.292792793
0.207707708	0.292292292
0.208208208	0.291791792
0.208708709	0.291291291
0.209209209	0.290790791
0.20970971	0.29029029
0.21021021	0.28978979
0.210710711	0.289289289
0.211211211	0.288788789
0.211711712	0.288288288
0.212212212	0.287787788
0.212712713	0.287287287
0.213213213	0.286786787
0.213713714	0.286286286
0.214214214	0.285785786
0.214714715	0.285285285
0.215215215	0.284784785
0.215715716	0.284284284
0.216216216	0.283783784
0.216716717	0.283283283
0.217217217	0.282782783
0.217717718	0.282282282
0.218218218	0.281781782
0.218718719	0.281281281
0.219219219	0.280780781
0.21971972	0.28028028
0.22022022	0.27977978
0.220720721	0.279279279
0.221221221	0.278778779
0.221721722	0.278278278
0.222222222	0.277777778
0.222722723	0.277277277
0.223223223	0.276776777
0.223723724	0.276276276
0.224224224	0.275775776
0.224724725	0.275275275
0.225225225	0.274774775
0.225725726	0.274274274
0.226226226	0.273773774
0.226726727	0.273273273
0.227227227	0.272772773
0.227727728	0.272272272
0.228228228	0.271771772
0.228728729	0.271271271
0.229229229	0.270770771
0.22972973	0.27027027
0.23023023	0.26976977
0.230730731	0.269269269
0.231231231	0.268768769
0.231731732	0.268268268
0.232232232	0.267767768
0.232732733	0.267267267
0.233233233	0.266766767
0.233733734	0.266266266
0.234234234	0.265765766
0.234734735	0.265265265
0.235235235	0.264764765
0.235735736	0.264264264
0.236236236	0.263763764
0.236736737	0.263263263
0.237237237	0.262762763
0.237737738	0.262262262
0.238238238	0.261761762
0.238738739	0.261261261
0.239239239	0.260760761
0.23973974	0.26026026
0.24024024	0.25975976
0.240740741	0.259259259
0.241241241	0.258758759
0.241741742	0.258258258
0.242242242	0.257757758
0.242742743	0.257257257
0.243243243	0.256756757
0.243743744	0.256256256
0.244244244	0.255755756
0.244744745	0.255255255
0.245245245	0.254754755
0.245745746	0.254254254
0.246246246	0.253753754
0.246746747	0.253253253
0.247247247	0.252752753
0.247747748	0.252252252
0.248248248	0.251751752
0.248748749	0.251251251
0.249249249	0.250750751
0.24974975	0.25025025
0.25025025	0.24974975
0.250750751	0.249249249
0.251251251	0.248748749
0.251751752	0.248248248
0.252252252	0.247747748
0.252752753	0.247247247
0.253253253	0.246746747
0.253753754	0.246246246
0.254254254	0.245745746
0.254754755	0.245245245
0.255255255	0.244744745
0.255755756	0.244244244
0.256256256	0.243743744
0.256756757	0.243243243
0.257257257	0.242742743
0.257757758	0.242242242
0.258258258	0.241741742
0.258758759	0.241241241
0.259259259	0.240740741
0.25975976	0.24024024
0.26026026	0.23973974
0.260760761	0.239239239
0.261261261	0.238738739
0.261761762	0.238238238
0.262262262	0.237737738
0.262762763	0.237237237
0.263263263	0.236736737
0.263763764	0.236236236
0.264264264	0.235735736
0.264764765	0.235235235
0.265265265	0.234734735
0.265765766	0.234234234
0.266266266	0.233733734
0.266766767	0.233233233
0.267267267	0.232732733
0.267767768	0.232232232
0.268268268	0.231731732
0.268768769	0.231231231
0.269269269	0.230730731
0.26976977	0.23023023
0.27027027	0.22972973
0.270770771	0.229229229
0.271271271	0.228728729
0.271771772	0.228228228
0.272272272	0.227727728
0.272772773	0.227227227
0.273273273	0.226726727
0.273773774	0.226226226
0.274274274	0.225725726
0.274774775	0.225225225
0.275275275	0.224724725
0.275775776	0.224224224
0.276276276	0.223723724
0.276776777	0.223223223
0.277277277	0.222722723
0.277777778	0.222222222
0.278278278	0.221721722
0.278778779	0.221221221
0.279279279	0.220720721
0.27977978	0.22022022
0.28028028	0.21971972
0.280780781	0.219219219
0.281281281	0.218718719
0.281781782	0.218218218
0.282282282	0.217717718
0.282782783	0.217217217
0.283283283	0.216716717
0.283783784	0.216216216
0.284284284	0.215715716
0.284784785	0.215215215
0.285285285	0.214714715
0.285785786	0.214214214
0.286286286	0.213713714
0.286786787	0.213213213
0.287287287	0.212712713
0.287787788	0.212212212
0.288288288	0.211711712
0.288788789	0.211211211
0.289289289	0.210710711
0.28978979	0.21021021
0.29029029	0.20970971
0.290790791	0.209209209
0.291291291	0.208708709
0.291791792	0.208208208
0.292292292	0.207707708
0.292792793	0.207207207
0.293293293	0.206706707
0.293793794	0.206206206
0.294294294	0.205705706
0.294794795	0.205205205
0.295295295	0.204704705
0.295795796	0.204204204
0.296296296	0.203703704
0.296796797	0.203203203
0.297297297	0.202702703
0.297797798	0.202202202
0.298298298	0.201701702
0.298798799	0.201201201
0.299299299	0.200700701
0.2997998	0.2002002
0.3003003	0.1996997
0.300800801	0.199199199
0.301301301	0.198698699
0.301801802	0.198198198
0.302302302	0.197697698
0.302802803	0.197197197
0.303303303	0.196696697
0.303803804	0.196196196
0.304304304	0.195695696
0.304804805	0.195195195
0.305305305	0.194694695
0.305805806	0.194194194
0.306306306	0.193693694
0.306806807	0.193193193
0.307307307	0.192692693
0.307807808	0.192192192
0.308308308	0.191691692
0.308808809	0.191191191
0.309309309	0.190690691
0.30980981	0.19019019
0.31031031	0.18968969
0.310810811	0.189189189
0.311311311	0.188688689
0.311811812	0.188188188
0.312312312	0.187687688
0.312812813	0.187187187
0.313313313	0.186686687
0.313813814	0.186186186
0.314314314	0.185685686
0.314814815	0.185185185
0.315315315	0.184684685
0.315815816	0.184184184
0.316316316	0.183683684
0.316816817	0.183183183
0.317317317	0.182682683
0.317817818	0.182182182
0.318318318	0.181681682
0.318818819	0.181181181
0.319319319	0.180680681
0.31981982	0.18018018
0.32032032	0.17967968
0.320820821	0.179179179
0.321321321	0.178678679
0.321821822	0.178178178
0.322322322	0.177677678
0.322822823	0.177177177
0.323323323	0.176676677
0.323823824	0.176176176
0.324324324	0.175675676
0.324824825	0.175175175
0.325325325	0.174674675
0.325825826	0.174174174
0.326326326	0.173673674
0.326826827	0.173173173
0.327327327	0.172672673
0.327827828	0.172172172
0.328328328	0.171671672
0.328828829	0.171171171
0.329329329	0.170670671
0.32982983	0.17017017
0.33033033	0.16966967
0.330830831	0.169169169
0.331331331	0.168668669
0.331831832	0.168168168
0.332332332	0.167667668
0.332832833	0.167167167
0.333333333	0.166666667
0.333833834	0.166166166
0.334334334	0.165665666
0.334834835	0.165165165
0.335335335	0.164664665
0.335835836	0.164164164
0.336336336	0.163663664
0.336836837	0.163163163
0.337337337	0.162662663
0.337837838	0.162162162
0.338338338	0.161661662
0.338838839	0.161161161
0.339339339	0.160660661
0.33983984	0.16016016
0.34034034	0.15965966
0.340840841	0.159159159
0.341341341	0.158658659
0.341841842	0.158158158
0.342342342	0.157657658
0.342842843	0.157157157
0.343343343	0.156656657
0.343843844	0.156156156
0.344344344	0.155655656
0.344844845	0.155155155
0.345345345	0.154654655
0.345845846	0.154154154
0.346346346	0.153653654
0.346846847	0.153153153
0.347347347	0.152652653
0.347847848	0.152152152
0.348348348	0.151651652
0.348848849	0.151151151
0.349349349	0.150650651
0.34984985	0.15015015
0.35035035	0.14964965
0.350850851	0.149149149
0.351351351	0.148648649
0.351851852	0.148148148
0.352352352	0.147647648
0.352852853	0.147147147
0.353353353	0.146646647
0.353853854	0.146146146
0.354354354	0.145645646
0.354854855	0.145145145
0.355355355	0.144644645
0.355855856	0.144144144
0.356356356	0.143643644
0.356856857	0.143143143
0.357357357	0.142642643
0.357857858	0.142142142
0.358358358	0.141641642
0.358858859	0.141141141
0.359359359	0.140640641
0.35985986	0.14014014
0.36036036	0.13963964
0.360860861	0.139139139
0.361361361	0.138638639
0.361861862	0.138138138
0.362362362	0.137637638
0.362862863	0.137137137
0.363363363	0.136636637
0.363863864	0.136136136
0.364364364	0.135635636
0.364864865	0.135135135
0.365365365	0.134634635
0.365865866	0.134134134
0.366366366	0.133633634
0.366866867	0.133133133
0.367367367	0.132632633
0.367867868	0.132132132
0.368368368	0.131631632
0.368868869	0.131131131
0.369369369	0.130630631
0.36986987	0.13013013
0.37037037	0.12962963
0.370870871	0.129129129
0.371371371	0.128628629
0.371871872	0.128128128
0.372372372	0.127627628
0.372872873	0.127127127
0.373373373	0.126626627
0.373873874	0.126126126
0.374374374	0.125625626
0.374874875	0.125125125
0.375375375	0.124624625
0.375875876	0.124124124
0.376376376	0.123623624
0.376876877	0.123123123
0.377377377	0.122622623
0.377877878	0.122122122
0.378378378	0.121621622
0.378878879	0.121121121
0.379379379	0.120620621
0.37987988	0.12012012
0.38038038	0.11961962
0.380880881	0.119119119
0.381381381	0.118618619
0.381881882	0.118118118
0.382382382	0.117617618
0.382882883	0.117117117
0.383383383	0.116616617
0.383883884	0.116116116
0.384384384	0.115615616
0.384884885	0.115115115
0.385385385	0.114614615
0.385885886	0.114114114
0.386386386	0.113613614
0.386886887	0.113113113
0.387387387	0.112612613
0.387887888	0.112112112
0.388388388	0.111611612
0.388888889	0.111111111
0.389389389	0.110610611
0.38988989	0.11011011
0.39039039	0.10960961
0.390890891	0.109109109
0.391391391	0.108608609
0.391891892	0.108108108
0.392392392	0.107607608
0.392892893	0.107107107
0.393393393	0.106606607
0.393893894	0.106106106
0.394394394	0.105605606
0.394894895	0.105105105
0.395395395	0.104604605
0.395895896	0.104104104
0.396396396	0.103603604
0.396896897	0.103103103
0.397397397	0.102602603
0.397897898	0.102102102
0.398398398	0.101601602
0.398898899	0.101101101
0.399399399	0.100600601
0.3998999	0.1001001
0.4004004	0.0995996
0.400900901	0.099099099
0.401401401	0.098598599
0.401901902	0.098098098
0.402402402	0.097597598
0.402902903	0.097097097
0.403403403	0.096596597
0.403903904	0.096096096
0.404404404	0.095595596
0.404904905	0.095095095
0.405405405	0.094594595
0.405905906	0.094094094
0.406406406	0.093593594
0.406906907	0.093093093
0.407407407	0.092592593
0.407907908	0.092092092
0.408408408	0.091591592
0.408908909	0.091091091
0.409409409	0.090590591
0.40990991	0.09009009
0.41041041	0.08958959
0.410910911	0.089089089
0.411411411	0.088588589
0.411911912	0.088088088
0.412412412	0.087587588
0.412912913	0.087087087
0.413413413	0.086586587
0.413913914	0.086086086
0.414414414	0.085585586
0.414914915	0.085085085
0.415415415	0.084584585
0.415915916	0.084084084
0.416416416	0.083583584
0.416916917	0.083083083
0.417417417	0.082582583
0.417917918	0.082082082
0.418418418	0.081581582
0.418918919	0.081081081
0.419419419	0.080580581
0.41991992	0.08008008
0.42042042	0.07957958
0.420920921	0.079079079
0.421421421	0.078578579
0.421921922	0.078078078
0.422422422	0.077577578
0.422922923	0.077077077
0.423423423	0.076576577
0.423923924	0.076076076
0.424424424	0.075575576
0.424924925	0.075075075
0.425425425	0.074574575
0.425925926	0.074074074
0.426426426	0.073573574
0.426926927	0.073073073
0.427427427	0.072572573
0.427927928	0.072072072
0.428428428	0.071571572
0.428928929	0.071071071
0.429429429	0.070570571
0.42992993	0.07007007
0.43043043	0.06956957
0.430930931	0.069069069
0.431431431	0.068568569
0.431931932	0.068068068
0.432432432	0.067567568
0.432932933	0.067067067
0.433433433	0.066566567
0.433933934	0.066066066
0.434434434	0.065565566
0.434934935	0.065065065
0.435435435	0.064564565
0.435935936	0.064064064
0.436436436	0.063563564
0.436936937	0.063063063
0.437437437	0.062562563
0.437937938	0.062062062
0.438438438	0.061561562
0.438938939	0.061061061
0.439439439	0.060560561
0.43993994	0.06006006
0.44044044	0.05955956
0.440940941	0.059059059
0.441441441	0.058558559
0.441941942	0.058058058
0.442442442	0.057557558
0.442942943	0.057057057
0.443443443	0.056556557
0.443943944	0.056056056
0.444444444	0.055555556
0.444944945	0.055055055
0.445445445	0.054554555
0.445945946	0.054054054
0.446446446	0.053553554
0.446946947	0.053053053
0.447447447	0.052552553
0.447947948	0.052052052
0.448448448	0.051551552
0.448948949	0.051051051
0.449449449	0.050550551
0.44994995	0.05005005
0.450450451	0.04954955
0.450950951	0.049049049
0.451451452	0.048548549
0.451951952	0.048048048
0.452452453	0.047547548
0.452952953	0.047047047
0.453453454	0.046546547
0.453953954	0.046046046
0.454454455	0.045545546
0.454954955	0.045045045
0.455455456	0.044544545
0.455955956	0.044044044
0.456456457	0.043543544
0.456956957	0.043043043
0.457457458	0.042542543
0.457957958	0.042042042
0.458458459	0.041541542
0.458958959	0.041041041
0.45945946	0.040540541
0.45995996	0.04004004
0.460460461	0.03953954
0.460960961	0.039039039
0.461461462	0.038538539
0.461961962	0.038038038
0.462462463	0.037537538
0.462962963	0.037037037
0.463463464	0.036536537
0.463963964	0.036036036
0.464464465	0.035535536
0.464964965	0.035035035
0.465465466	0.034534535
0.465965966	0.034034034
0.466466467	0.033533534
0.466966967	0.033033033
0.467467468	0.032532533
0.467967968	0.032032032
0.468468469	0.031531532
0.468968969	0.031031031
0.46946947	0.030530531
0.46996997	0.03003003
0.470470471	0.02952953
0.470970971	0.029029029
0.471471472	0.028528529
0.471971972	0.028028028
0.472472473	0.027527528
0.472972973	0.027027027
0.473473474	0.026526527
0.473973974	0.026026026
0.474474475	0.025525526
0.474974975	0.025025025
0.475475476	0.024524525
0.475975976	0.024024024
0.476476477	0.023523524
0.476976977	0.023023023
0.477477478	0.022522523
0.477977978	0.022022022
0.478478479	0.021521522
0.478978979	0.021021021
0.47947948	0.020520521
0.47997998	0.02002002
0.480480481	0.01951952
0.480980981	0.019019019
0.481481482	0.018518519
0.481981982	0.018018018
0.482482483	0.017517518
0.482982983	0.017017017
0.483483484	0.016516517
0.483983984	0.016016016
0.484484485	0.015515516
0.484984985	0.015015015
0.485485486	0.014514515
0.485985986	0.014014014
0.486486487	0.013513514
0.486986987	0.013013013
0.487487488	0.012512513
0.487987988	0.012012012
0.488488489	0.011511512
0.488988989	0.011011011
0.48948949	0.010510511
0.48998999	0.01001001
0.490490491	0.00950951
0.490990991	0.009009009
0.491491492	0.008508509
0.491991992	0.008008008
0.492492493	0.007507508
0.492992993	0.007007007
0.493493494	0.006506507
0.493993994	0.006006006
0.494494495	0.005505506
0.494994995	0.005005005
0.495495496	0.004504505
0.495995996	0.004004004
0.496496497	0.003503504
0.496996997	0.003003003
0.497497498	0.002502503
0.497997998	0.002002002
0.498498499	0.001501502
0.498998999	0.001001001
0.4994995	0.000500501
0.5	0

repository: jMetal/jMetal

repo_name: jMetal/jMetal

branch_name: refs/heads/main

gha_license_id: MIT

gha_language: Java

extension: pf


text:
@article{2011AJ....141...93B,
 abstract = {We present a novel method for the optimal selection of quasars using
time-series observations in a single photometric bandpass.
Utilizing the damped random walk model of Kelly et al., we
parameterize the ensemble quasar structure function in Sloan
Stripe 82 as a function of observed brightness. The ensemble
model fit can then be evaluated rigorously for and calibrated
with individual light curves with no parameter fitting. This
yields a classification in two statistics—one
describing the fit confidence and the other describing the
probability of a false alarm—which can be tuned, a
priori, to achieve high quasar detection fractions (99%
completeness with default cuts), given an acceptable rate of
false alarms. We establish the typical rate of false alarms due
to known variable stars as lsim3% (high purity). Applying the
classification, we increase the sample of potential quasars
relative to those known in Stripe 82 by as much as 29%, and by
nearly a factor of two in the redshift range 2.5 < z <
3, where selection by color is extremely inefficient. This
represents 1875 new quasars in a 290 deg$^2$ field. The
observed rates of both quasars and stars agree well with the
model predictions, with >99% of quasars exhibiting the
expected variability profile. We discuss the utility of the
method at high redshift and in the regime of noisy and sparse
data. Our time-series selection complements well-independent
selection based on quasar colors and has strong potential for
identifying high-redshift quasars for Baryon Acoustic
Oscillations and other cosmology studies in the LSST era.},
 adsnote = {Provided by the SAO/NASA Astrophysics Data System},
 adsurl = {https://ui.adsabs.harvard.edu/abs/2011AJ....141...93B},
 archiveprefix = {arXiv},
 author = {Butler, Nathaniel R. and Bloom, Joshua S.},
 doi = {10.1088/0004-6256/141/3/93},
 eid = {93},
 eprint = {1008.3143},
 journal = {\aj},
 keywords = {cosmology: miscellaneous, methods: statistical, quasars: general, stars: variables: general, Astrophysics - Cosmology and Nongalactic Astrophysics, Astrophysics - Instrumentation and Methods for Astrophysics},
 month = {Mar},
 number = {3},
 pages = {93},
 primaryclass = {astro-ph.CO},
 title = {Optimal Time-series Selection of Quasars},
 volume = {141},
 year = {2011}
}

repository: profjsb/my-content

repo_name: profjsb/my-content


text:
% deep learning

@book{DeepLearningbook,
    author    = "Ian Goodfellow and Yoshua Bengio and Aaron Courville",
    title     = "Deep Learning",
    year      = "2017",
    publisher = "MIT Press",
}

@online{xiao2017/online,
  author       = {Han Xiao and Kashif Rasul and Roland Vollgraf},
  title        = {Fashion-MNIST: a Novel Image Dataset for Benchmarking Machine Learning Algorithms},
  date         = {2017-08-28},
  year         = {2017},
  eprintclass  = {cs.LG},
  eprinttype   = {arXiv},
  eprint       = {cs.LG/1708.07747},
}

@misc{Dumoulin16,
    author    = "Vincent Dumoulin and Francesco Visin",
    year      = "2016",
    title     = "A guide to convolution arithmetic for deep learning",
    url       = "https://arxiv.org/abs/1603.07285"
}

@book{MostafaLD2012,
 author = {Abu-Mostafa, Yaser S. and Magdon-Ismail, Malik and Lin, Hsuan-Tien},
 title = {Learning From Data},
 year = {2012},
 isbn = {1600490069, 9781600490064},
 publisher = {AMLBook},
}


text:
@article{KYRIAKIDES2013208,
title = "Evaluation of gasoline–ethanol–water ternary mixtures used as a fuel for an Otto engine",
journal = "Fuel",
volume = "108",
pages = "208 - 215",
year = "2013",
issn = "0016-2361",
doi = "https://doi.org/10.1016/j.fuel.2013.02.035",
url = "http://www.sciencedirect.com/science/article/pii/S0016236113001270",
author = "Alexios Kyriakides and Vasilis Dimas and Eleni Lymperopoulou and Dimitris Karonis and Evripidis Lois",
keywords = "Ternary mixtures, Gasoline, Ethanol, Additives, Otto engine",
abstract = "In this study, gasoline–ethanol–water ternary mixtures were tested for stability, at three different temperatures, three water qualities, two gasoline compositions and three additives. Then, a specific mixture of 60:40 gasoline–ethanol-10% hydrous (E40h), was burned in a stationary automotive Otto engine. Measurements of exhaust emissions (NOx, NO, HC, CO2, CO, O2), horsepower, fuel consumption and other parameters were taken through the λ scale and compared to those derived from the gasoline (E0) and 60:40(E40) gasoline–anhydrous ethanol fuels. The engine, a 997cc VVTi Toyota gasoline engine without catalytic converter, had to be thoroughly retuned but not modified for these three different fuels. The experimental results show an impressive reduction of NOx emissions for hydrous ethanol mixture and other less significant changes for the rest of the emissions. Also, the gravimetric fuel consumption is significantly higher for both anhydrous and hydrous ethanol mixtures due to the lower heating value of ethanol and zero heating value of water."
}

gha_language: HTML


text:
require bug-app.inc

DESCRIPTION = "v1.0.1\
Updated one method call to match fix of a typo in the new SDK. Thanks for reminding me wex :-)\
v1.0.0\
First pass at a location-aware to-do list manager. It has (for now) 3 hard-coded lists: home, work and supermarket. Each list has a LatLon associated with it. I set it up with latlons from the default NYC route. If you select NEAREST from the menu it will automatically switch the todo list shown to be the one for the nearest location. You can also override it by selecting a specific list, in which case it will still show you the distance from that list's location, but it won't switch to the nearest list again until you select NEAREST.\
If you run the VirtualBUG, install the LCD and GPS modules it should show you the nearest list as 'home' for a while, then switch to 'work' then finally to 'supermarket' (assuming you use the default GPS data that's built into the VirtualBUG and that you don't choose a list from the menu).\
Things to figure out:\
\
How would a user edit a list, create a list, etc? The Bug LCD doesn't have a keyboard unless we create one, iPhone style or whatever. Also, a servlet interface might work quite nicely for this but of course it wouldn't be too usefull while you're out and about.\
\
User needs to be able to go somewhere and at least create an empty list at that location; otherwise they need to enter the latlon for the list by hand which would be tedious.\
\
Allow the user to check off completed items? I had it running with check boxes next to the items but couldn't get the repaint to work when I switched lists. That's probably just my lack of Java GUI knowledge though. (I had the lower section as a Panel that I removedAll()ed on a list switch, set it to a GridLayout of x,1 where x=# items in list, added in sub panels with BorderLayout containing the check box and the item).\
\
Make it pretty!\
"
HOMEPAGE = "http://buglabs.net/applications/todo"

DEPENDS += "com.buglabs.bug.module.gps com.buglabs.osgi com.buglabs.common service-tracker com.buglabs.bug.module.lcd "

PV = "5"

SRC_LINK = "http://buglabs.net/program_version/download/728"

APIVERSION = ""

repository: overo/overo-oe-natty

repo_name: overo/overo-oe-natty

branch_name: HEAD


text:
package logging

import (
	"log"
	"os"
)

type Level int

const (
	DEBUG Level = iota - 1
	INFO
	WARN
	ERROR
)

func (l Level) String() string {
	switch l {
	case DEBUG:
		return "DEBUG"
	case INFO:
		return "INFO"
	case WARN:
		return "WARN"
	case ERROR:
		return "ERROR"
	default:
		return "UNKNOWN"
	}
}

var (
	DefaultLogger = NewLogger(INFO)
)

type Logger interface {
	Debugf(format string, args ...interface{})
	Infof(format string, args ...interface{})
	Warnf(format string, args ...interface{})
	Errorf(format string, args ...interface{})
}

type SimpleLogger struct {
	DebugOut *log.Logger
	InfoOut  *log.Logger
	WarnOut  *log.Logger
	ErrorOut *log.Logger
	Level    Level
}

func NewLogger(level Level) *SimpleLogger {
	return &SimpleLogger{
		DebugOut: log.New(os.Stdout, "[DEBUG] ", log.Ldate | log.Lmicroseconds | log.Lmsgprefix),
		InfoOut:  log.New(os.Stdout, "[INFO ] ", log.Ldate | log.Lmicroseconds | log.Lmsgprefix),
		WarnOut:  log.New(os.Stderr, "[WARN ] ", log.Ldate | log.Lmicroseconds | log.Lmsgprefix),
		ErrorOut: log.New(os.Stderr, "[ERROR] ", log.Ldate | log.Lmicroseconds | log.Lmsgprefix),
		Level:    level,
	}
}

func (l *SimpleLogger) Debugf(format string, args ...interface{}) {
	if l.Level <= DEBUG {
		l.DebugOut.Printf(format, args...)
	}
}

func (l *SimpleLogger) Infof(format string, args ...interface{}) {
	if l.Level <= INFO {
		l.InfoOut.Printf(format, args...)
	}
}

func (l *SimpleLogger) Warnf(format string, args ...interface{}) {
	if l.Level <= WARN {
		l.WarnOut.Printf(format, args...)
	}
}

func (l *SimpleLogger) Errorf(format string, args ...interface{}) {
	if l.Level <= ERROR {
		l.ErrorOut.Printf(format, args...)
	}
}

type DummyLogger struct {}

func (l DummyLogger) Debugf(format string, args ...interface{}) {}

func (l DummyLogger) Infof(format string, args ...interface{}) {}

func (l DummyLogger) Warnf(format string, args ...interface{}) {}

func (l DummyLogger) Errorf(format string, args ...interface{}) {}

repository: macrat/naft

repo_name: macrat/naft

extension: go


text:
DESCRIPTION = "High Level DBus Introspection Daemon"
AUTHOR = "M. Lauer et. al."
SECTION = "console/network"
DEPENDS = "vala-native dbus dbus-glib"
LICENSE = "GPL"
PV = "0.9.0+gitr${SRCREV}"
PR = "r0"

SRC_URI = "${FREESMARTPHONE_GIT}/dbus-hlid.git;protocol=git;branch=master"
S = "${WORKDIR}/git"

inherit autotools

FILES_${PN} += "${datadir} ${sysconfdir}"


text:
inherit update-alternatives

DESCRIPTION = "Dictionary file for libdictionary"
DEPENDS = "zip-native perl-native"
SECTION = "gpe"
PRIORITY = "optional"

SRC_URI = "http://ftp.services.openoffice.org/pub/OpenOffice.org/contrib/dictionaries/en_GB.zip"

ALTERNATIVE_NAME = "dictionary"
ALTERNATIVE_LINK = "${datadir}/dictionary/dictionary"
ALTERNATIVE_PATH = "${datadir}/dictionary/en_GB"
ALTERNATIVE_PRIORITY = "50"

do_compile() {
	perl -ne ' s,/.*,,; next if ( /[.1-9]/ || /^.{0,1}$/ ); print;' ${WORKDIR}/en_GB.dic | sort > en_GB
}

FILES_${PN} = "${datadir}/dictionary"

do_install() {
	install -d ${D}/${datadir}/dictionary
	install ${S}/en_GB ${D}/${datadir}/dictionary/
}

SRC_URI[md5sum] = "6fb885d57899c3e6aa2b27f3510deb37"
SRC_URI[sha256sum] = "f4b43083923e2998298fd270a8a9f9ed570f4fbebeaa46ce5f1788b76920308b"
#CHECKSUMS.INI MISMATCH: I've got this instead:
#SRC_URI[md5sum] = "218909136738f4564b81ecd145ade6ee"
#SRC_URI[sha256sum] = "5869d8bd80eb2eb328ebe36b356348de4ae2acb1db6df39d1717d33f89f63728"


text:
@book{hipel1994time,
  title={Time series modelling of water resources and environmental systems},
  author={Hipel, Keith W and McLeod, A Ian},
  volume={45},
  year={1994},
  publisher={Elsevier}
}
@article{mann1945nonparametric,
  title={Nonparametric tests against trend},
  author={Mann, Henry B},
  journal={Econometrica: Journal of the Econometric Society},
  pages={245--259},
  year={1945},
  publisher={JSTOR},
  doi={10.2307/1907187}
}
@article{kendall1975rank,
  title={Rank correlation measures},
  author={Kendall, MG},
  journal={Charles Griffin, London},
  volume={202},
  pages={15},
  year={1975}
}
@article{bari2016analysis,
  title={Analysis of seasonal and annual rainfall trends in the northern region of {Bangladesh}},
  author={Bari, Sheikh Hefzul and Rahman, M Tauhid Ur and Hoque, Muhammad Azizul and Hussain, Md Manjurul},
  journal={Atmospheric Research},
  volume={176},
  pages={148--158},
  year={2016},
  publisher={Elsevier},
  doi={10.1016/j.atmosres.2016.02.008}
}
@article{hirsch1982techniques,
  title={Techniques of trend analysis for monthly water quality data},
  author={Hirsch, Robert M and Slack, James R and Smith, Richard A},
  journal={Water resources research},
  volume={18},
  number={1},
  pages={107--121},
  year={1982},
  publisher={Wiley Online Library},
  doi={10.1029/WR018i001p00107}
}
@article{hamed1998modified,
  title={A modified {Mann}--{Kendall} trend test for autocorrelated data},
  author={Hamed, Khaled H and Rao, A Ramachandra},
  journal={Journal of hydrology},
  volume={204},
  number={1-4},
  pages={182--196},
  year={1998},
  publisher={Elsevier},
  doi={10.1016/S0022-1694(97)00125-X}
}
@article{cox1955some,
  title={Some quick sign tests for trend in location and dispersion},
  author={Cox, David Roxbee and Stuart, Alan},
  journal={Biometrika},
  volume={42},
  number={1/2},
  pages={80--95},
  year={1955},
  publisher={JSTOR},
  doi={10.2307/2333424}
}
@article{yue2004mann,
  title={The {Mann}--{Kendall} test modified by effective sample size to detect trend in serially correlated hydrological series},
  author={Yue, Sheng and Wang, ChunYuan},
  journal={Water resources management},
  volume={18},
  number={3},
  pages={201--218},
  year={2004},
  publisher={Springer},
  doi={10.1023/B:WARM.0000043140.61082.60}
}
@article{yue2002applicability,
  title={Applicability of prewhitening to eliminate the influence of serial correlation on the {Mann}--{Kendall} test},
  author={Yue, Sheng and Wang, Chun Yuan},
  journal={Water resources research},
  volume={38},
  number={6},
  pages={4--1},
  year={2002},
  publisher={Wiley Online Library},
  doi={10.1029/2001WR000861}
}
@article{yue2002influence,
  title={The influence of autocorrelation on the ability to detect trend in hydrological series},
  author={Yue, Sheng and Pilon, Paul and Phinney, Bob and Cavadias, George},
  journal={Hydrological processes},
  volume={16},
  number={9},
  pages={1807--1829},
  year={2002},
  publisher={Wiley Online Library},
  doi={10.1002/hyp.1095}
}
@article{helsel2006regional,
  title={Regional {Kendall} test for trend},
  author={Helsel, Dennis R and Frans, Lonna M},
  journal={Environmental science \& technology},
  volume={40},
  number={13},
  pages={4066--4073},
  year={2006},
  publisher={ACS Publications},
  doi={10.1021/es051650b}
}
@book{hipel1994time,
  title={Time series modelling of water resources and environmental systems},
  author={Hipel, Keith W and McLeod, A Ian},
  volume={45},
  year={1994},
  publisher={Elsevier}
}
@article{libiseller2002performance,
  title={Performance of partial {Mann}--{Kendall} tests for trend detection in the presence of covariates},
  author={Libiseller, Claudia and Grimvall, Anders},
  journal={Environmetrics: The official journal of the International Environmetrics Society},
  volume={13},
  number={1},
  pages={71--84},
  year={2002},
  publisher={Wiley Online Library},
  doi={10.1002/env.507}
}
@inproceedings{theil1950rank,
  title={A rank-invariant method of linear and polynominal regression analysis (Parts 1-3)},
  author={Theil, H},
  booktitle={Ned. Akad. Wetensch. Proc. Ser. A},
  volume={53},
  pages={1397--1412},
  year={1950}
}
@article{sen1968estimates,
  title={Estimates of the regression coefficient based on {Kendall}'s tau},
  author={Sen, Pranab Kumar},
  journal={Journal of the American statistical association},
  volume={63},
  number={324},
  pages={1379--1389},
  year={1968},
  publisher={Taylor \& Francis Group},
  doi={10.1080/01621459.1968.10480934}
}

gha_language: Python


text:
@Article{abad03,
  Title                    = {{An extension of Herschel's method for dense and extensive catalogues. Application to the determination of solar motion}},
  Author                   = {{Abad}, C. and {Vieira}, K. and {Bongiovanni}, A. and {Romero}, L. and {Vicente}, B.},
  Journal                  = {\aap},
  Year                     = {2003},

  Month                    = jan,
  Pages                    = {345-351},
  Volume                   = {397},

  Adsnote                  = {Provided by the SAO/NASA Astrophysics Data System},
  Adsurl                   = {http://adsabs.harvard.edu/abs/2003A%26A...397..345A},
  Keywords                 = {astrometry, galaxies: stars clusters, methods: data analysis, stars: kinematics}
}

@Article{abell59,
  Title                    = {{The National Geographic Society-Palomar Observatory Sky Survey}},
  Author                   = {{Abell}, G.~O.},
  Journal                  = {Leaflet of the Astronomical Society of the Pacific},
  Year                     = {1959},
  Pages                    = {121},
  Volume                   = {8},

  Adsnote                  = {Provided by the SAO/NASA Astrophysics Data System},
  Adsurl                   = {http://adsabs.harvard.edu/abs/1959ASPL....8..121A}
}

@ARTICLE{Skrutskie2006,
   author = {{Skrutskie}, M.~F. and {Cutri}, R.~M. and {Stiening}, R. and
  {Weinberg}, M.~D. and {Schneider}, S. and {Carpenter}, J.~M. and
  {Beichman}, C. and {Capps}, R. and {Chester}, T. and {Elias}, J. and
  {Huchra}, J. and {Liebert}, J. and {Lonsdale}, C. and {Monet}, D.~G. and
  {Price}, S. and {Seitzer}, P. and {Jarrett}, T. and {Kirkpatrick}, J.~D. and
  {Gizis}, J.~E. and {Howard}, E. and {Evans}, T. and {Fowler}, J. and
  {Fullmer}, L. and {Hurt}, R. and {Light}, R. and {Kopan}, E.~L. and
  {Marsh}, K.~A. and {McCallon}, H.~L. and {Tam}, R. and {Van Dyk}, S. and
  {Wheelock}, S.},
    title = "{The Two Micron All Sky Survey (2MASS)}",
  journal = {\aj},
 keywords = {Catalogs, Infrared: General, Surveys},
     year = 2006,
    month = feb,
   volume = 131,
    pages = {1163-1183},
      doi = {10.1086/498708},
   adsurl = {http://adsabs.harvard.edu/abs/2006AJ....131.1163S},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{Wright2010,
   author = {{Wright}, E.~L. and {Eisenhardt}, P.~R.~M. and {Mainzer}, A.~K. and
  {Ressler}, M.~E. and {Cutri}, R.~M. and {Jarrett}, T. and {Kirkpatrick}, J.~D.    and {Padgett}, D. and {McMillan}, R.~S. and {Skrutskie}, M. and
  {Stanford}, S.~A. and {Cohen}, M. and {Walker}, R.~G. and {Mather}, J.~C. and
  {Leisawitz}, D. and {Gautier}, III, T.~N. and {McLean}, I. and
  {Benford}, D. and {Lonsdale}, C.~J. and {Blain}, A. and {Mendez}, B. and
  {Irace}, W.~R. and {Duval}, V. and {Liu}, F. and {Royer}, D. and
  {Heinrichsen}, I. and {Howard}, J. and {Shannon}, M. and {Kendall}, M. and
  {Walsh}, A.~L. and {Larsen}, M. and {Cardon}, J.~G. and {Schick}, S. and
  {Schwalm}, M. and {Abid}, M. and {Fabinsky}, B. and {Naes}, L. and
  {Tsai}, C.-W.},
    title = "{The Wide-field Infrared Survey Explorer (WISE): Mission Description and Initial On-orbit Performance}",
  journal = {\aj},
archivePrefix = "arXiv",
   eprint = {1008.0031},
 primaryClass = "astro-ph.IM",
 keywords = {infrared: general, space vehicles, surveys},
     year = 2010,
    month = dec,
   volume = 140,
      eid = {1868},
    pages = {1868-1881},
      doi = {10.1088/0004-6256/140/6/1868},
   adsurl = {http://adsabs.harvard.edu/abs/2010AJ....140.1868W},
  adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}


text:
@article{Derrien2012,
 abstract = {We present a fast mapping-based algorithm to compute the mappability of each region of a reference genome up to a specified number of mismatches. Knowing the mappability of a genome is crucial for the interpretation of massively parallel sequencing experiments. We investigate the properties of the mappability of eukaryotic DNA/RNA both as a whole and at the level of the gene family, providing for various organisms tracks which allow the mappability information to be visually explored. In addition, we show that mappability varies greatly between species and gene classes. Finally, we suggest several practical applications where mappability can be used to refine the analysis of high-throughput sequencing data (SNP calling, gene expression quantification and paired-end experiments). This work highlights mappability as an important concept which deserves to be taken into full account, in particular when massively parallel sequencing technologies are employed. The GEM mappability program belongs to the GEM (GEnome Multitool) suite of programs, which can be freely downloaded for any use from its website (http://gemlibrary.sourceforge.net).},
 author = {Derrien, Thomas and Estelle, Jordi and Marco Sola, Santiago and Knowles, David G and Raineri, Emanuele and Guigo, Roderic and Ribeca, Paolo},
 doi = {10.1371/journal.pone.0030377},
 issn = {1932-6203 (Electronic)},
 journal = {PloS one},
 keywords = {Algorithms,Computational Biology,Genome, Human,High-Throughput Nucleotide Sequencing,Humans,Sequence Analysis, DNA,genetics,methods},
 language = {eng},
 number = {1},
 pages = {e30377},
 pmid = {22276185},
 title = {Fast computation and applications of genome mappability.},
 volume = {7},
 year = {2012}
}


text:
package main

import (
	"encoding/json"
	"errors"
	"fmt"
	"github.com/Miguel-Dorta/gkup-backend/pkg/repository"
	"github.com/Miguel-Dorta/gkup-backend/pkg/repository/settings"
	"os"
)

type input struct {
	Action   string                 `json:"action"`
	RepoPath string                 `json:"repository-path"`
	Args     map[string]interface{} `json:"args"`
}

const (
	// Common keys
	keyOutputTimeInMS = "output-time-ms"
	keyGroupName = "group"

	// Backup keys
	keyPaths = "paths"

	// Restore keys
	keyRestorationPath = "restore-to"
	keySnapTime = "snapshot-time"

	// Settings keys
	keyBufferSize = "buffer-size"
	keyHashAlgorithm = "hash-algorithm"
	keySnapshotType = "snapshot-type"
	keyDBHost = "database-host"
	keyDBPort = "database-port"
	keyDBName = "database-name"
	keyDBUser = "database-user"
	keyDBPass = "database-password"
)

func getInput() (input, error) {
	var in input
	if err := json.NewDecoder(os.Stdin).Decode(&in); err != nil {
		return input{}, fmt.Errorf("error decoding json: %s", err)
	}

	if in.RepoPath == "" {
		return input{}, errors.New("undefined repository-path")
	}

	return in, nil
}

func main() {
	in, err := getInput()
	if err != nil {
		printError(err.Error())
		return // Just for the linter to stop complaining
	}

	switch in.Action {
	case "list":
		repository.List(in.RepoPath)
	case "backup":
		repository.Backup(
			in.RepoPath,
			getInt(in.Args, keyOutputTimeInMS),
			getString(in.Args, keyGroupName),
			getStringSlice(in.Args, keyPaths))
	case "check":
		repository.Check(
			in.RepoPath,
			getInt(in.Args, keyOutputTimeInMS))
	case "create":
		repository.Create(
			in.RepoPath,
			&settings.Settings{
				BufferSize:    getOptionalInt(in.Args, keyBufferSize),
				HashAlgorithm: getOptionalString(in.Args, keyHashAlgorithm),
				SnapshotType:  getOptionalString(in.Args, keySnapshotType),
				DB:            settings.DB{
					Host:   getOptionalString(in.Args, keyDBHost),
					DBName: getOptionalString(in.Args, keyDBName),
					User:   getOptionalString(in.Args, keyDBUser),
					Pass:   getOptionalString(in.Args, keyDBPass),
					Port:   getOptionalInt(in.Args, keyDBPort),
				},
			})
	case "restore":
		repository.Restore(
			in.RepoPath,
			getInt(in.Args, keyOutputTimeInMS),
			getString(in.Args, keyRestorationPath),
			getString(in.Args, keyGroupName),
			getInt64(in.Args, keySnapTime))
	default:
		printError("invalid or undefined action")
	}
}

func printError(s string) {
	_, _ = fmt.Fprintln(os.Stderr, s)
	os.Exit(1)
}

repository: Miguel-Dorta/gkup-backend

repo_name: Miguel-Dorta/gkup-backend


text:
@article{El-gamal2016,
author = {El-gamal, Fatma El-zahraa Ahmed and Elmogy, Mohammed and Atwan, Ahmed},
doi = {10.1016/j.eij.2015.09.002},
file = {:C$\backslash$:/Users/Jacob/OneDrive/Dokumente/Studium/Master/3. Semester/Medical Image Analysis Lab/Literatur/Registration overview.pdf:pdf},
issn = {1110-8665},
journal = {Egyptian Informatics Journal},
keywords = {medical image fusion,medical image registration,medical imaging modalities},
number = {1},
pages = {99--124},
publisher = {Ministry of Higher Education and Scientific Research},
title = {{Current trends in medical image registration and fusion}},
url = {http://dx.doi.org/10.1016/j.eij.2015.09.002},
volume = {17},
year = {2016}
}
@article{Viergever2016,
abstract = {A retrospective view on the past two decades of the field of medical image registration is presented, guided by the article “A survey of medical image registration” (Maintz and Viergever, 1998). It shows that the classification of the field introduced in that article is still usable, although some modifications to do justice to advances in the field would be due. The main changes over the last twenty years are the shift from extrinsic to intrinsic registration, the primacy of intensity-based registration, the breakthrough of nonlinear registration, the progress of inter-subject registration, and the availability of generic image registration software packages. Two problems that were called urgent already 20 years ago, are even more urgent nowadays: Validation of registration methods, and translation of results of image registration research to clinical practice. It may be concluded that the field of medical image registration has evolved, but still is in need of further development in various aspects.},
author = {Viergever, Max A. and Maintz, J.B. Antoine and Klein, Stefan and Murphy, Keelin and Staring, Marius and Pluim, Josien P.W.},
doi = {10.1016/j.media.2016.06.030},
file = {:C$\backslash$:/Users/Jacob/OneDrive/Dokumente/Studium/Master/3. Semester/Medical Image Analysis Lab/Literatur/registration{\_}survey.pdf:pdf},
isbn = {1361-8415},
issn = {13618415},
journal = {Medical Image Analysis},
keywords = {Medical image registration,medical image registration},
pages = {140--144},
pmid = {10638851},
publisher = {Elsevier B.V.},
title = {{A survey of medical image registration – under review}},
url = {http://linkinghub.elsevier.com/retrieve/pii/S1361841516301074},
volume = {33},
year = {2016}
}

repository: Studijacob/MIALab

repo_name: Studijacob/MIALab


text:
package main

import (
	"bufio"
	"fmt"
	"log"
	"os"

	// Imports the Stackdriver Logging client package.
	"cloud.google.com/go/logging"
	"golang.org/x/net/context"
)

func setupLogger() *logging.Client {
	ctx := context.Background()
	projectID := os.Getenv("GCLOUD_PROJECT_ID")
	client, err := logging.NewClient(ctx, projectID)
	if err != nil {
		log.Fatalf("Failed to create client: %v", err)
	}
	return client
}

func main() {
	var entry logging.Entry
	logName := os.Args[1]
	scanner := bufio.NewScanner(os.Stdin)
	client := setupLogger()
	logger := client.Logger(logName)
	for scanner.Scan() {
		entry = logging.Entry{Payload: scanner.Text()}
		logger.Log(entry)
	}
	logger.Flush()
	if err := scanner.Err(); err != nil {
		fmt.Fprintln(os.Stderr, "reading standard input:", err)
	}
	defer func() {
		if err := client.Close(); err != nil {
			log.Fatalf("Failed to close client: %v", err)
		}
	}()
}


text:
---
---
@article{centrale23,
  journal={\'Ecole Centrale de Lyon},
  title = {Sparsity and High-Dimensional Statistics},
  year={2023},
  month = {Jan},
  notes = {optimisation_theory.pdf},
  abbr = {centrale_logo.png},
  }

  @article{ensDLtheory,
  journal={ENS de Lyon},
  title = {Mathematical Foundations of Deep Neural Networks},
  year={2023},
  month = {Jan},
  codes = {NTK_class.ipynb},
  abbr = {ens_logo.png},
  }

  @article{ensMLcomplex,
  journal ={ENS de Lyon},
  title = {Machine Learning},
  year={2022},
  month = {Sep},
  abbr = {ens_logo.png},
  }


text:
DTB_SUBDIR="dts/"

KERNEL_DEVICETREE = "socfpga_cyclone5 socfpga_arria5 socfpga_vt"

require recipes-kernel/linux/linux-altera-latest.inc


text:
DESCRIPTION = "chronos initram"

include recipes-core/initramfs/include/chronos.inc

PACKAGE_INSTALL = " \
        initrd-boot \
        "

repository: esno/meta-chronos

repo_name: esno/meta-chronos


text:
@InProceedings{wang07d,
  title = {Fast Mean Shift with Accurate and Stable Convergence},
  author = {Ping Wang and Dongryeol Lee and Alexander Gray and James M. Rehg},
  pages = {604--611},
  abstract = {Mean shift is a powerful but computationally expensive method for nonparametric clustering and optimization. It iteratively moves each data point to its local mean until convergence. We introduce a fast algorithm for computing mean shift based on the dual-tree. Unlike previous speed-up attempts, our algorithm maintains a relative error bound at each iteration, resulting in significantly more stable and accurate convergence. We demonstrate the benefit of our method in clustering experiments with real and synthetic data.},
  pdf = {http://jmlr.org/proceedings/papers/v2/wang07d/wang07d.pdf},
}

repository: mreid/papersite

repo_name: mreid/papersite


text:
DESCRIPTION="News Aggregator for RDF/RSS/CDF/Atom/Echo feeds"
HOMEPAGE="http://liferea.sourceforge.net/"
SECTION = "x11/network"
PR = "r0"

LICENSE = "GPLv2"
LIC_FILES_CHKSUM = "file://COPYING;md5=94d55d512a9ba36caa9b7df079bae19f"

DEPENDS = "gtk+ glib-2.0 pango libunique json-glib libxml2 libxslt sqlite3 webkit-gtk libnotify"

SRC_URI="${SOURCEFORGE_MIRROR}/${PN}/${P}.tar.gz"
SRC_URI[md5sum] = "6313e3049b586be110c9402900609fe0"
SRC_URI[sha256sum] = "0b5f4afa0cf5b9b93ce5e069747646b674ee414e6e0e637d975c09acf798ee37"

EXTRA_OECONF = " \
    --enable-sm \
    --disable-schemas-install \
    --enable-libnotify \
    "

inherit gettext pkgconfig gtk-icon-cache autotools gconf

repository: tworaz/oe-tworaz

repo_name: tworaz/oe-tworaz

gha_language: Shell


text:
##****************************************************************************
## Copyright © 2019 Jan Erik Breimo. All rights reserved.
## Created by Jan Erik Breimo on 2019-12-24.
##
## This file is distributed under the BSD License.
## License text is included with the source distribution.
##****************************************************************************
cmake_minimum_required(VERSION 3.13)

set_property(GLOBAL
    PROPERTY
        tungsten_cmake_module_dir "${CMAKE_CURRENT_LIST_DIR}")

function(tungsten_target_embed_shaders targetName)
    find_package(Python3 COMPONENTS Interpreter REQUIRED)

    # TODO: Add FILE_SUFFIX
    cmake_parse_arguments(ARG "" "" "FILES" ${ARGN})

    foreach (SHADER_PATH IN LISTS ARG_FILES)
        set(SHADER_INPUT "${CMAKE_CURRENT_SOURCE_DIR}/${SHADER_PATH}")
        get_filename_component(SHADER_NAME ${SHADER_PATH} NAME)
        set(SHADER_OUTPUT "${CMAKE_CURRENT_BINARY_DIR}/tungsten_include/${SHADER_NAME}.hpp")
        get_property(SCRIPT_DIR GLOBAL PROPERTY tungsten_cmake_module_dir)
        set(SCRIPT_PATH ${SCRIPT_DIR}/make_cpp_string.py)
        add_custom_command(OUTPUT "${SHADER_OUTPUT}"
            COMMAND "${Python3_EXECUTABLE}" ${SCRIPT_PATH} "${SHADER_INPUT}" "${SHADER_OUTPUT}"
            DEPENDS "${SHADER_INPUT}")
        list(APPEND SHADER_OUTPUT_FILES "${SHADER_OUTPUT}")
    endforeach ()

    add_custom_target(${targetName}_ShaderHeaders ALL
        DEPENDS ${SHADER_OUTPUT_FILES})

    add_dependencies(${targetName} ${targetName}_ShaderHeaders)

    target_include_directories(${targetName} BEFORE
        PRIVATE
            $<BUILD_INTERFACE:${CMAKE_CURRENT_BINARY_DIR}/tungsten_include>
        )
endfunction()

repository: jebreimo/Tungsten

repo_name: jebreimo/Tungsten

extension: cmake


text:
# libdvdnav.bb build file
HOMEPAGE="http://git.debian-maintainers.org/"
DESCRIPTION="DVD navigation multimeda library"
LICENSE = "GPL"
DEPENDS = "libdvdread"
RDEPENDS = "libdvdread"

PV = "4.1.3+git"
PR = "r8"

#debian/4.1.3-7
SRCREV="850e513d4fea29b40879378b13003cd677e5214b"

EXTRA_OECONF = "--with-dvdread-prefix=${STAGING_LIBDIR}/.."

SRC_URI = "git://git.debian-maintainers.org/git/daniel/libdvdnav.git;protocol=git;branch=debian \
	file://dvdnav-fix-random-shuffle-titles.patch;patch=1;pnum=1"

S = "${WORKDIR}/git"

inherit autotools pkgconfig

do_munge() {
	for i in `ls debian/patches | grep ".patch" | sort -n`; do
		oenote "Applying debian patch '$i'";
		patch -p1 < debian/patches/$i;
	done;
}

addtask munge before do_compile after do_patch

do_stage() {
	autotools_stage_all
}

repository: demsey/openembedded

repo_name: demsey/openembedded


text:
DESCRIPTION = "Microchip EGT sample applications from the community"
LICENSE = "Apache-2.0"
LIC_FILES_CHKSUM = "file://LICENSE;md5=9d979c7e3d1771e43c4e0ac149beb4d0"

PACKAGES = "\
    ${PN} \
    ${PN}-dev \
    ${PN}-dbg \
"
DEPENDS = " libegt"

SRC_URI = "git://github.com/linux4sam/egt-samples-contribution.git;protocol=https;branch=master "

PV = "1.2+git${SRCPV}"
SRCREV = "8e1feb4bcd9f7b8921b3a44719dc37a40942b424"

S = "${WORKDIR}/git"

EXTRA_OECMAKE += "-DEGT_SAMPLES_CONTRIBUTION_SLIDERB=true"

inherit pkgconfig cmake

python __anonymous () {
    endianness = d.getVar('SITEINFO_ENDIANNESS')
    if endianness == 'be':
        raise bb.parse.SkipRecipe('Requires little-endian target.')
}

branch_name: refs/heads/kirkstone

gha_language: BitBake


text:
package main

import (
	"log"
	"os"

	"github.com/mtsmfm/sqlcodegen/cmd"

	"github.com/urfave/cli/v2"
)

func main() {
	app := &cli.App{
		Name: "sqlcodegen",
		Commands: []*cli.Command{
			{
				Name:  "init",
				Usage: "init",
				Action: func(c *cli.Context) error {
					return cmd.RunInit()
				},
			},
			{
				Name:    "generate",
				Aliases: []string{"g"},
				Usage:   "generate codes",
				Action: func(c *cli.Context) error {
					return cmd.RunGenerate()
				},
			},
		},
	}

	err := app.Run(os.Args)
	if err != nil {
		log.Fatal(err)
	}
}

repository: mtsmfm/sqlcodegen

repo_name: mtsmfm/sqlcodegen

gha_language: Go


text:
package gopsql

import (
	"database/sql"
	"fmt"
	"github.com/cadyrov/goerr/v2"

	_ "github.com/lib/pq" //for psql will work
)

func (c *Config) Connect() (db *DB, e goerr.IError) {
	cu, e := c.ConnectionURL()

	if e != nil {
		return
	}

	dbPs, err := sql.Open("postgres", cu)
	if err != nil {
		e = goerr.Internal(err)
	}

	db = &DB{false, dbPs}

	return
}

func (c *Config) ConnectionURL() (url string, e goerr.IError) {
	url = "host=%s port=%d user=%s password=%s dbname=%s"

	if c.Host == "" || c.Port == 0 || c.UserName == "" || c.DBName == "" || c.Password == "" {
		e = goerr.BadRequest(fmt.Errorf("config isn't full "+url, c.Host,
			c.Port, c.UserName, c.Password, c.DBName))

		return
	}

	if c.SslMode != "" {
		url += " sslmode=" + c.SslMode
	}

	if c.Binary {
		url += " binary_parameters=yes"
	}

	url = fmt.Sprintf(url, c.Host, c.Port, c.UserName, c.Password, c.DBName)

	return
}

repository: cadyrov/gopsql

repo_name: cadyrov/gopsql


text:
SUMMARY = "TI Display Sharing Firmware"

LICENSE = "TI-TFL"
LIC_FILES_CHKSUM = "file://LICENSE.ti;md5=b5aebf0668bdf95621259288c4a46d76"

PV = "06.01.00.00+git${SRCPV}"
PACKAGE_ARCH = "${MACHINE_ARCH}"

inherit deploy
inherit update-alternatives

PROTOCOL = "git"
BRANCH = "ti-linux-firmware"
SRCREV = "e7be1ab85266c47236330e2909997d20fc62e312"

SRC_URI = "git://git.ti.com/processor-firmware/ti-linux-firmware.git;protocol=${PROTOCOL};branch=${BRANCH}"

S = "${WORKDIR}/git"

TI_DISP_SHARE_FW_DIR = "${S}/ti-display-sharing/"
TI_DISP_SHARE_FW_FILENAME = "ti-display-sharing-j721e.bin"

# make sure that lib/firmware, and all its contents are part of the package
FILES_${PN} += "${base_libdir}/firmware"

do_install() {
  install -d ${D}${base_libdir}/firmware
  install -m 0755 ${TI_DISP_SHARE_FW_DIR}/${TI_DISP_SHARE_FW_FILENAME} ${D}${base_libdir}/firmware
}

TARGET_MAIN_R5FSS0_1 = "j7-main-r5f0_1-fw"
ALTERNATIVE_${PN} = "j7-main-r5f0_1-fw"
ALTERNATIVE_LINK_NAME[j7-main-r5f0_1-fw] = "${base_libdir}/firmware/${TARGET_MAIN_R5FSS0_1}"
ALTERNATIVE_TARGET[j7-main-r5f0_1-fw] = "${base_libdir}/firmware/${TI_DISP_SHARE_FW_FILENAME}"
ALTERNATIVE_PRIORITY = "9"

# This is used to prevent the build system to strip the executables
INHIBIT_PACKAGE_STRIP = "1"
INHIBIT_SYSROOT_STRIP = "1"

# This is used to prevent the build system to split the debug info in a separate file
INHIBIT_PACKAGE_DEBUG_SPLIT = "1"
# As it likely to be a different arch from the Yocto build, disable checking by adding "arch" to INSANE_SKIP
INSANE_SKIP_${PN} += "arch"

# we don't want to configure and build the source code
do_compile[noexec] = "1"
do_configure[noexec] = "1"

repository: bjornwilliam/meta-ti

repo_name: bjornwilliam/meta-ti


text:
require nodejs_0.10.inc

LIC_FILES_CHKSUM = "file://LICENSE;md5=4a31e6c424761191227143b86f58a1ef"

SRC_URI[md5sum] = "15e9018dadc63a2046f61eb13dfd7bd6"
SRC_URI[sha256sum] = "ef5e4ea6f2689ed7f781355012b942a2347e0299da0804a58de8e6281c4b1daa"

repository: skaldo/meta-nodejs

repo_name: skaldo/meta-nodejs


text:
#
# Copyright (c) 2016-2021 Li-Pro.Net, Stephan Linz
#
# ACTIVE: <<image::inherit::central-image>>
#

SUMMMARY = "Central Base System"
DESCRIPTION = "The basic set of packages required for a Central system"
LICENSE = "MIT"
PR = "r0"

#
# packages which content depend on MACHINE_FEATURES need to be MACHINE_ARCH
#
PACKAGE_ARCH = "${MACHINE_ARCH}"

inherit packagegroup

# For backwards compatibility after rename
RPROVIDES_packagegroup-base-central = "packagegroup-central-base"
RREPLACES_packagegroup-base-central = "packagegroup-central-base"
RCONFLICTS_packagegroup-base-central = "packagegroup-central-base"

RDEPENDS_${PN} = " \
"

RRECOMMENDS_${PN} = " \
"

repository: lipro-yocto/lpn-central

repo_name: lipro-yocto/lpn-central


text:
@article{Elshamy-2020-On,
    title = "On the configuration and initialization of a large-scale hydrological land surface model to represent permafrost",
    author = "Elshamy, Mohamed E.  and
      Princz, Daniel  and
      Sapriza-Azuri, Gonzalo  and
      Abdelhamed, Mohamed S.  and
      Pietroniro, Al  and
      Wheater, Howard S.  and
      Razavi, Saman",
    journal = "Hydrology and Earth System Sciences, Volume 24, Issue 1",
    volume = "24",
    number = "1",
    year = "2020",
    publisher = "Copernicus GmbH",
    url = "https://aclanthology.org/G20-72001",
    doi = "10.5194/hess-24-349-2020",
    pages = "349--379",
    abstract = "Abstract. Permafrost is an important feature of cold-region hydrology, particularly in river basins such as the Mackenzie River basin (MRB), and it needs to be properly represented in hydrological and land surface models (H-LSMs) built into existing Earth system models (ESMs), especially under the unprecedented climate warming trends that have been observed. Higher rates of warming have been reported in high latitudes compared to the global average, resulting in permafrost thaw with wide-ranging implications for hydrology and feedbacks to climate. The current generation of H-LSMs is being improved to simulate permafrost dynamics by allowing deep soil profiles and incorporating organic soils explicitly. Deeper soil profiles have larger hydraulic and thermal memories that require more effort to initialize. This study aims to devise a robust, yet computationally efficient, initialization and parameterization approach applicable to regions where data are scarce and simulations typically require large computational resources. The study further demonstrates an upscaling approach to inform large-scale ESM simulations based on the insights gained by modelling at small scales. We used permafrost observations from three sites along the Mackenzie River valley spanning different permafrost classes to test the validity of the approach. Results show generally good performance in reproducing present-climate permafrost properties at the three sites. The results also emphasize the sensitivity of the simulations to the soil layering scheme used, the depth to bedrock, and the organic soil properties.",
}

repository: gwf-uwaterloo/gwf-publications

repo_name: gwf-uwaterloo/gwf-publications


text:
# Base this image on nexell-image-qt5
require recipes-graphics/images/core-image-weston.bb
include nexell-image-qt5.inc
inherit nexell-post-process-avn

LICENSE = "LGPLv2.1"


text:
SUMMARY = "Pipeline for processing monocular and stereo images"
HOMEPAGE = "http://ros.org/wiki/image_pipeline"
LICENSE  = "BSD"
LIC_FILES_CHKSUM = "file://stack.xml;md5=e6035feff6741424750840e55c2e723b"

STACK = "image_pipeline"
inherit rosbuild

BBCLASSEXTEND = "native"

SRC_URI  = "svn://code.ros.org/svn/ros-pkg/stacks/image_pipeline/tags;module=image_pipeline-1.8.3;rev=;proto=https"

DEPENDS += "\
	ros-fuerte-common-msgs \
	ros-fuerte-dynamic-reconfigure \
	ros-fuerte-geometry \
	ros-fuerte-image-common \
	ros-fuerte-nodelet-core \
	ros-fuerte-perception-pcl \
	ros-fuerte-ros \
	ros-fuerte-ros-comm \
	ros-fuerte-vision-opencv \
"
FILES_${PN}-dbg += " \
	${ros_stacksdir}/${STACK}/image_proc/lib/.debug \
	${ros_stacksdir}/${STACK}/image_proc/bin/.debug \
	${ros_stacksdir}/${STACK}/image_view/lib/.debug \
	${ros_stacksdir}/${STACK}/image_view/bin/.debug \
	${ros_stacksdir}/${STACK}/image_rotate/lib/.debug \
	${ros_stacksdir}/${STACK}/image_rotate/bin/.debug \
	${ros_stacksdir}/${STACK}/stereo_image_proc/lib/.debug \
	${ros_stacksdir}/${STACK}/stereo_image_proc/bin/.debug \
	${ros_stacksdir}/${STACK}/depth_image_proc/lib/.debug \
	${ros_stacksdir}/${STACK}/depth_image_proc/bin/.debug \
	${ros_stacksdir}/${STACK}/camera_calibration/lib/.debug \
	${ros_stacksdir}/${STACK}/camera_calibration/bin/.debug \
"

FILES_${PN}-staticdev += " \
	${ros_stacksdir}/${STACK}/image_proc/lib/*.a \
	${ros_stacksdir}/${STACK}/image_view/lib/*.a \
	${ros_stacksdir}/${STACK}/image_rotate/lib/*.a \
	${ros_stacksdir}/${STACK}/stereo_image_proc/lib/*.a \
	${ros_stacksdir}/${STACK}/depth_image_proc/lib/*.a \
	${ros_stacksdir}/${STACK}/camera_calibration/lib/*.a \
"

do_install_append() {
    rm -rf ${D}/${ros_stacksdir}/${STACK}/image_proc/build
    rm -rf ${D}/${ros_stacksdir}/${STACK}/image_view/build
    rm -rf ${D}/${ros_stacksdir}/${STACK}/image_rotate/build
    rm -rf ${D}/${ros_stacksdir}/${STACK}/stereo_image_proc/build
    rm -rf ${D}/${ros_stacksdir}/${STACK}/depth_image_proc/build
    rm -rf ${D}/${ros_stacksdir}/${STACK}/camera_calibration/build
}

S = "${WORKDIR}/image_pipeline-1.8.3"

do_configure_prepend() {
    rm -f ${WORKDIR}/${STACK} && ln -s image_pipeline-1.8.3 ${WORKDIR}/${STACK}
}


text:
SUMMARY = "Cross-Plattform GUI Library"
DESCRIPTIOM = "wxWidgets is a free and open source cross-platform C++ framework for writing advanced GUI applications using native controls."
HOMEPAGE = "https://www.wxwidgets.org/"
BUGTRACKER = "https://trac.wxwidgets.org/"

# wxWidgets licence is a modified version of LGPL explicitly allowing not
# distributing the sources of an application using the library even in the
# case of static linking.
LICENSE = "wxWidgets"
LIC_FILES_CHKSUM = "file://docs/licence.txt;md5=981f50a934828620b08f44d75db557c6"

inherit ${@bb.utils.contains('PACKAGECONFIG', 'qt', 'cmake_qt5', 'cmake', d)}
inherit features_check lib_package

# All toolkit-configs except 'no_gui' require x11 explicitly (see toolkit.cmake)
REQUIRED_DISTRO_FEATURES = "${@bb.utils.contains('PACKAGECONFIG', 'no_gui', '', 'x11', d)}"

DEPENDS += " \
    jpeg \
    libpng \
    tiff \
"

SRC_URI = "git://github.com/wxWidgets/wxWidgets.git"
PV = "3.1.3"
SRCREV= "8a40d23b27ed1c80b5a2ca9f7e8461df4fbc1a31"
S = "${WORKDIR}/git"

# These can be either 'builtin' or 'sys' and builtin means cloned soures are
# build. So these cannot be PACKAGECONFIGs and let's use libs where we can (see
# DEPENDS)
EXTRA_OECMAKE += " \
    -DwxUSE_LIBJPEG=sys \
    -DwxUSE_LIBPNG=sys \
    -DwxUSE_LIBTIFF=sys \
    -DwxUSE_REGEX=builtin \
"
EXTRA_OECMAKE_append_libc-musl = " \
    -DHAVE_LOCALE_T=OFF \
"

PACKAGECONFIG ?= "gtk"

# Note on toolkit-PACKAGECONFIGs: select exactly one of 'no_gui' / 'gtk' / 'qt'
PACKAGECONFIG[no_gui] = "-DwxUSE_GUI=OFF,,,,,qt gtk"
PACKAGECONFIG[gtk] = "-DwxBUILD_TOOLKIT=gtk3 -DwxUSE_GUI=ON,,gtk+3,,,no_gui qt"
PACKAGECONFIG[qt] = "-DwxBUILD_TOOLKIT=qt  -DwxUSE_GUI=ON,,qtbase,,,no_gui gtk"
python () {
    pkgconfig = d.getVar('PACKAGECONFIG')
    if (not 'no_gui' in pkgconfig) and (not 'gtk' in pkgconfig) and (not 'qt' in pkgconfig):
        bb.error("PACKAGECONFIG must select a toolkit. Add one of no_gui / gtk / qt!")
}

# Notes on other PACKAGECONFIGs:
# * 'no_gui' overrides some configs below so they are marked as conflicting
#   with 'no_gui' to avoid surprises
# * qt+gstreamer is broken due to incorrect references on glib-2.0 -> mark
#   as conflicting
# * wxUSE_LIBGNOMEVFS is for gtk2 (see init.cmake) which we don't support
#   -> no gvfs PACKAGECONFIG
# * libmspack is in meta-security
PACKAGECONFIG[gstreamer] = "-DwxUSE_MEDIACTRL=ON,-DwxUSE_MEDIACTRL=OFF,gstreamer1.0-plugins-base,,,no_gui qt"
PACKAGECONFIG[libsecret] = "-DwxUSE_SECRETSTORE=ON,-DwxUSE_SECRETSTORE=OFF,libsecret,,,no_gui"
PACKAGECONFIG[lzma] = "-DwxUSE_LIBLZMA=ON,-DwxUSE_LIBLZMA=OFF,xz"
PACKAGECONFIG[mspack] = "-DwxUSE_LIBMSPACK=ON,-DwxUSE_LIBMSPACK=OFF,libmspack"
PACKAGECONFIG[sdl_audio] = "-DwxUSE_LIBSDL=ON,-DwxUSE_LIBSDL=OFF,libsdl2"
PACKAGECONFIG[webkit] = "-DwxUSE_WEBVIEW_WEBKIT=ON,-DwxUSE_WEBVIEW_WEBKIT=OFF,webkitgtk,,,no_gui"

do_install_append() {
    # do not ship bindir if empty
    rmdir --ignore-fail-on-non-empty ${D}${bindir}
}

# lib names are not canonical
FILES_SOLIBSDEV = ""

FILES_${PN} += " \
    ${libdir}/libwx_*.so \
    ${libdir}/wx/ \
"

FILES_${PN}-dev += "${libdir}/wx/include/"