text:
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 primaryClass = {astro-ph.SR},
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  editor =      "Xindong Wu and Ramamohanarao Kotagiri and Kevin B.
                 Korb",
  booktitle =   "Proceedings of the 2nd Pacific-Asia Conference on
                 Research and Development in Knowledge Discovery and
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}

@Article{WallaceBoulton1968,
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  pages =       "185--194",
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 journal =     "Computer Journal",
}

@TechReport{WallaceDowe1993,
  author =      "C. S. Wallace and D. L. Dowe",
  title =       "{MML} Estimation of the von {M}ises concentration  parameter",
  institution =  "Dept. of Computer Science, Monash University, Clayton 3168, Australia",
  type =        "Technical Report",
  number =      "93/193",
  month =       "December",
  year =        "1993",
  keywords =    "formerly Wallace:93e",
}

@InProceedings{WallaceDowe1994b,
  author =      "C. S. Wallace and D. L. Dowe",
  title =       "Intrinsic classification by {MML} - the {S}nob program",
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  location =    "Armidale, NSW, Australia",
  pages =       "37--44",
  year =        "1994",
  publisher =   "World Scientific",
}

@Article{WallaceDowe1997a,
  author =      "C. S. Wallace and D. L. Dowe",
  title =       "{MML} mixture modelling of multi-state, {P}oisson, von
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  year =        "1997",
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@ARTICLE{Bland-Hawthorn:2010b,
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@ARTICLE{Bland-Hawthorn:2010a,
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 primaryClass = {astro-ph.GA},
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 @ARTICLE{Bland-Hawthorn:2016,
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}

@Article{WallaceDowe1999a,
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@article{WallaceDowe2000,
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@Article{Wallace:1987,
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  number =      "3",
  pages =       "240--252",
  year =        "1987",
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@ARTICLE{Bland-Hawthorn:2018,
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@article{Kullback:1951,
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%Stewart, G.W., ?The efficient generation of random orthogonal matrices with an application to condition estimators?, SIAM Journal on Numerical Analysis, 17(3), pp. 403-409, 1980

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@article{Stewart:1980,
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@ARTICLE{Hogg:2016,
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        Hans-Walter and {Foreman-Mackey}, Daniel and {Hasselquist}, Sten
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        Steven R. and {Martell}, Sarah L. and {M{\'e}sz{\'a}ros},
        Szabolcs and {Nidever}, David L. and {Shetrone}, Matthew},
        title = "{Chemical Tagging Can Work: Identification of Stellar Phase-space
        Structures Purely by Chemical-abundance Similarity}",
      journal = {\apj},
     keywords = {Galaxy: abundances, Galaxy: stellar content, Galaxy: structure, globular
        clusters: general, open clusters and associations: general,
        stars: abundances, Astrophysics - Astrophysics of Galaxies,
        Astrophysics - Solar and Stellar Astrophysics},
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 primaryClass = {astro-ph.GA},
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@ARTICLE{Leung;Bovy:2018,
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        Methods for Astrophysics},
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archivePrefix = {arXiv},
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 primaryClass = {astro-ph.GA},
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@ARTICLE{Ness:2018a,
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        Galaxy: abundances, Galaxy: evolution, Galaxy: formation},
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      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
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@ARTICLE{Ness:2015,
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      journal = {\apj},
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        Astrophysics of Galaxies, Astrophysics - Instrumentation and
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       eprint = {1501.07604},
 primaryClass = {astro-ph.SR},
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@ARTICLE{Casey:2016,
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        pages = {arXiv:1603.03040},
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@ARTICLE{DeSilva:2015,
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@ARTICLE{Dempster:1977,
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}

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@ARTICLE{Mitschang:2013,
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        title = "{Quantifying chemical tagging: towards robust group finding in the Galaxy}",
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        pages = {2321-2332},
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archivePrefix = {arXiv},
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      adsnote = {Provided by the SAO/NASA Astrophysics Data System}
}

@ARTICLE{Mitschang:2014,
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        evolution, open clusters and associations: general, Astrophysics
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@article{Schwarz:1978,
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@ARTICLE{Barklem:2005,
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@conference{jupyter-notebooks,
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@misc{tensorflow,
title={ {TensorFlow}: Large-Scale Machine Learning on Heterogeneous Systems},
url={https://www.tensorflow.org/},
note={Software available from tensorflow.org},
author={
    Mart\'{\i}n~Abadi and
    Ashish~Agarwal and
    Paul~Barham and
    Eugene~Brevdo and
    Zhifeng~Chen and
    Craig~Citro and
    Greg~S.~Corrado and
    Andy~Davis and
    Jeffrey~Dean and
    Matthieu~Devin and
    Sanjay~Ghemawat and
    Ian~Goodfellow and
    Andrew~Harp and
    Geoffrey~Irving and
    Michael~Isard and
    Yangqing Jia and
    Rafal~Jozefowicz and
    Lukasz~Kaiser and
    Manjunath~Kudlur and
    Josh~Levenberg and
    Dandelion~Man\'{e} and
    Rajat~Monga and
    Sherry~Moore and
    Derek~Murray and
    Chris~Olah and
    Mike~Schuster and
    Jonathon~Shlens and
    Benoit~Steiner and
    Ilya~Sutskever and
    Kunal~Talwar and
    Paul~Tucker and
    Vincent~Vanhoucke and
    Vijay~Vasudevan and
    Fernanda~Vi\'{e}gas and
    Oriol~Vinyals and
    Pete~Warden and
    Martin~Wattenberg and
    Martin~Wicke and
    Yuan~Yu and
    Xiaoqiang~Zheng},
  year={2015},
}

@article{Lindegren:2018,
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	Date-Modified = {2018-04-28 21:42:52 +0000},
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	Keywords = {Astrophysics - Instrumentation and Methods for Astrophysics},
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	Primaryclass = {astro-ph.IM},
	Title = {{Gaia Data Release 2: The astrometric solution}},
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@article{Gaia-Collaboration:2018,
	Adsnote = {Provided by the SAO/NASA Astrophysics Data System},
	Adsurl = {http://adsabs.harvard.edu/abs/2018arXiv180409365G},
	Archiveprefix = {arXiv},
	Author = {{Gaia Collaboration} and {Brown}, A.~G.~A. and {Vallenari}, A. and {Prusti}, T. and {de Bruijne}, J.~H.~J. and {Babusiaux}, C. and {Bailer-Jones}, C.~A.~L.},
	Date-Added = {2018-04-28 21:42:31 +0000},
	Date-Modified = {2018-04-28 21:42:32 +0000},
	Eprint = {1804.09365},
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	Keywords = {Astrophysics - Astrophysics of Galaxies, Astrophysics - Instrumentation and Methods for Astrophysics},
	Month = apr,
	Title = {{Gaia Data Release 2. Summary of the contents and survey properties}},
	Year = 2018}

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@article{mpl,
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@article{numpy,
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@misc{scipy,
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@article{gala,
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@article{ipython,
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@article{cosmohub,
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repository: andycasey/mcfa

repo_name: andycasey/mcfa


text:
@InProceedings{pmlr-v70-engel17a,
  title = 	 {Neural Audio Synthesis of Musical Notes with {W}ave{N}et Autoencoders},
  author = 	 {Jesse Engel and Cinjon Resnick and Adam Roberts and Sander Dieleman and Mohammad Norouzi and Douglas Eck and Karen Simonyan},
  booktitle = 	 {Proceedings of the 34th International Conference on Machine Learning},
  pages = 	 {1068--1077},
  year = 	 {2017},
  editor = 	 {Doina Precup and Yee Whye Teh},
  volume = 	 {70},
  series = 	 {Proceedings of Machine Learning Research},
  address = 	 {International Convention Centre, Sydney, Australia},
  month = 	 {06--11 Aug},
  publisher = 	 {PMLR},
  pdf = 	 {http://proceedings.mlr.press/v70/engel17a/engel17a.pdf},
  url = 	 {http://proceedings.mlr.press/v70/engel17a.html},
}

repository: tensorflow/datasets

license_type: permissive

repo_name: tensorflow/datasets

branch_name: refs/heads/master

gha_language: Python

extension: bib


text:
#
# Install chatty libraries from source
#

if (NOT chatty_NAME)

CMAKE_MINIMUM_REQUIRED(VERSION 2.8)

include (ExternalProject)
include (ExternalSource)
include (BuildSupport)

include (python)
include (boost)
include (numpy)
include (vigra)

set(CHATTY_UPDATE_COMMAND git checkout master && git pull)

external_git_repo (chatty
    HEAD
    https://github.com/thorbenk/chatty)

message ("Installing ${chatty_NAME} into FlyEM build area: ${BUILDEM_DIR} ...")
ExternalProject_Add(${chatty_NAME}
    DEPENDS             ${python_NAME} ${boost_NAME} ${numpy_NAME} ${vigra_NAME}
    PREFIX              ${BUILDEM_DIR}
    GIT_REPOSITORY      ${chatty_URL}
    GIT_TAG             ${chatty_TAG}
    UPDATE_COMMAND      ${CHATTY_UPDATE_COMMAND}
    PATCH_COMMAND       ""
    CONFIGURE_COMMAND   ${BUILDEM_ENV_STRING} ${CMAKE_COMMAND}
    	-DCMAKE_BUILD_TYPE=Release
    	-DCMAKE_INSTALL_PREFIX=${BUILDEM_DIR}
        -DCMAKE_PREFIX_PATH=${BUILDEM_DIR}
        -DPYTHON_EXECUTABLE=${PYTHON_EXE}
        -DPYTHON_INCLUDE_DIR=${PYTHON_PREFIX}/include/python2.7
        "-DPYTHON_LIBRARY=${PYTHON_PREFIX}/lib/libpython2.7.${BUILDEM_PLATFORM_DYLIB_EXTENSION}"
    	-DPYTHON_SITE_PACKAGES=${PYTHON_PREFIX}/lib/python2.7/site-packages
        -DBoost_LIBRARY_DIRS=${BUILDEM_DIR}/lib
    	${chatty_SRC_DIR}

    BUILD_COMMAND       ${BUILDEM_ENV_STRING} $(MAKE)
    INSTALL_COMMAND     ${BUILDEM_ENV_STRING} $(MAKE) install
)

endif (NOT chatty_NAME)

repository: janelia-flyem/buildem

repo_name: janelia-flyem/buildem

gha_language: CMake

extension: cmake


text:
SECTION = "libs"
DESCRIPTION = "iir"
PR = "r7"
LICENSE = "MIT"
LIC_FILES_CHKSUM = "file://COPYING;md5=e53b77ffc086d81addcf475344cbddb3"

SRCREV = "2903146bc69e527f16371a9c707f5f5866d54011"
SRC_URI = "git://github.com/berndporr/iir1.git \
		file://cascade_public.patch"

S = "${WORKDIR}/git"

inherit autotools

do_compile() {
    oe_runmake 'DESTDIR=${D}'
}

do_install_append() {
	rm -rf ${D}/${libdir}/iir
}

BBCLASSEXTEND = "native nativesdk"

license: MIT

extension: bb


text:
/*
Copyright 2021 The Kubernetes Authors.

Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at

    http://www.apache.org/licenses/LICENSE-2.0

Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package api

import "errors"

var (
	// ErrNotFound represents an error indicating a non-existent resource.
	ErrNotFound = errors.New("resource not found")

	// ErrTooManyFound represents an error indicating multiple results found for a single resource.
	ErrTooManyFound = errors.New("multiple resources found")

	// ErrInvalidRequest represents an error indicating that the caller's request is invalid.
	ErrInvalidRequest = errors.New("invalid request")

	// ErrAPIError represents an error indicating an API-side issue.
	ErrAPIError = errors.New("API error")
)

repository: kubernetes/autoscaler

repo_name: kubernetes/autoscaler

gha_language: Go

extension: go


text:
# Copyright (c) 2017-present, Facebook, Inc. and its affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.

# Find libgflags
#
#  LIBGFLAGS_INCLUDE_DIR - where to find gflags/gflags.h, etc.
#  LIBGFLAGS_LIBRARY     - List of libraries when using libgflags.
#  LIBGFLAGS_FOUND       - True if libgflags found.

IF (LIBGFLAGS_INCLUDE_DIR)
  # Already in cache, be silent
  SET(LIBGFLAGS_FIND_QUIETLY TRUE)
ENDIF ()

FIND_PATH(LIBGFLAGS_INCLUDE_DIR gflags/gflags.h)

FIND_LIBRARY(LIBGFLAGS_LIBRARY NAMES gflags gflags_static)

# handle the QUIETLY and REQUIRED arguments and set LIBGFLAGS_FOUND to TRUE if
# all listed variables are TRUE
INCLUDE(FindPackageHandleStandardArgs)
FIND_PACKAGE_HANDLE_STANDARD_ARGS(LIBGFLAGS DEFAULT_MSG LIBGFLAGS_LIBRARY LIBGFLAGS_INCLUDE_DIR)

MARK_AS_ADVANCED(LIBGFLAGS_LIBRARY LIBGFLAGS_INCLUDE_DIR)

repository: domhaobaobao/erlang-rocksdb

repo_name: domhaobaobao/erlang-rocksdb


text:
@article{RuprechtKlein2011,
	author = "Ruprecht, D. and Klein, R.",
	title = "A model for nonlinear interactions of internal gravity waves with saturated regions",
	journal = "Meteorologische Zeitschrift",
	volume = "20",
	number = "2",
	year = "2011",
	pages = "243-252",
	url={http://dx.doi.org/10.1127/0941-2948/2011/0213},
}

repository: comp-maths/website

repo_name: comp-maths/website