# This file created by conda-build 3.20.5
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Mon Nov  9 13:26:36 2020
# ------------------------------------------------

package:
    name: r-aricode
    version: 1.0.0
source:
    sha256: 9463d63c25466ce8827329a32cfd01c399d4caca2f4ba6bb8a5213bfa0f5db44
    url:
        - https://cran.r-project.org/src/contrib/Archive/aricode/aricode_1.0.0.tar.gz
        - https://cran.r-project.org/src/contrib/aricode_1.0.0.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r40ha856d6a_0
requirements:
    build:
        - m2-bash 4.3.042 5
        - m2-coreutils 8.25 102
        - m2-filesystem 2016.04 4
        - m2-gcc-libs 5.3.0 4
        - m2-gmp 6.1.0 3
        - m2-libbz2 1.0.6 3
        - m2-libiconv 1.14 3
        - m2-libintl 0.19.7 4
        - m2-make 4.1 5
        - m2-msys2-runtime 2.5.0.17080.65c939c 3
        - m2-sed 4.2.2 3
        - m2-zip 3.0 2
        - m2w64-binutils 2.25.1 5
        - m2w64-bzip2 1.0.6 6
        - m2w64-crt-git 5.0.0.4636.2595836 2
        - m2w64-gcc 5.3.0 6
        - m2w64-gcc-ada 5.3.0 6
        - m2w64-gcc-fortran 5.3.0 6
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gcc-objc 5.3.0 6
        - m2w64-gmp 6.1.0 2
        - m2w64-headers-git 5.0.0.4636.c0ad18a 2
        - m2w64-isl 0.16.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libmangle-git 5.0.0.4509.2e5a9a2 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-make 4.1.2351.a80a8b8 2
        - m2w64-mpc 1.0.3 3
        - m2w64-mpfr 3.1.4 4
        - m2w64-pkg-config 0.29.1 2
        - m2w64-toolchain 5.3.0 7
        - m2w64-toolchain_win-64 2.4.0 0
        - m2w64-tools-git 5.0.0.4592.90b8472 2
        - m2w64-windows-default-manifest 6.4 3
        - m2w64-winpthreads-git 5.0.0.4634.697f757 2
        - m2w64-zlib 1.2.8 10
        - msys2-conda-epoch 20160418 1
    host:
        - _r-mutex 1.0.1 anacondar_1
        - intel-openmp 2020.2 254
        - libblas 3.8.0 20_mkl
        - liblapack 3.8.0 20_mkl
        - m2w64-bwidget 1.9.10 2
        - m2w64-bzip2 1.0.6 6
        - m2w64-expat 2.1.1 2
        - m2w64-fftw 3.3.4 6
        - m2w64-flac 1.3.1 3
        - m2w64-gcc-libgfortran 5.3.0 6
        - m2w64-gcc-libs 5.3.0 7
        - m2w64-gcc-libs-core 5.3.0 7
        - m2w64-gettext 0.19.7 2
        - m2w64-gmp 6.1.0 2
        - m2w64-gsl 2.1 2
        - m2w64-libiconv 1.14 6
        - m2w64-libjpeg-turbo 1.4.2 3
        - m2w64-libogg 1.3.2 3
        - m2w64-libpng 1.6.21 2
        - m2w64-libsndfile 1.0.26 2
        - m2w64-libtiff 4.0.6 2
        - m2w64-libvorbis 1.3.5 2
        - m2w64-libwinpthread-git 5.0.0.4634.697f757 2
        - m2w64-libxml2 2.9.3 4
        - m2w64-mpfr 3.1.4 4
        - m2w64-pcre2 10.34 0
        - m2w64-speex 1.2rc2 3
        - m2w64-speexdsp 1.2rc3 3
        - m2w64-tcl 8.6.5 3
        - m2w64-tk 8.6.5 3
        - m2w64-tktable 2.10 5
        - m2w64-wineditline 2.101 5
        - m2w64-xz 5.2.2 2
        - m2w64-zlib 1.2.8 10
        - mkl 2020.2 256
        - msys2-conda-epoch 20160418 1
        - r-base 4.0.3 hc562dc2_2
        - r-lattice 0.20_41 r40hda5aaf8_2
        - r-matrix 1.2_18 r40h0adb578_3
        - r-rcpp 1.0.5 r40h796a38f_0
    run:
        - m2w64-gcc-libs
        - r-base >=4.0,<4.1.0a0
        - r-matrix
        - r-rcpp
test:
    commands:
        - '"%R%" -e "library(''aricode'')"'
about:
    home: https://github.com/jchiquet/aricode (dev version)
    license: GPL-3.0-or-later
    license_family: GPL3
    license_file:
        - D:\bld\r-aricode_1604928601741\_h_env/lib/R/share/licenses/GPL-3
    summary: Implements an efficient O(n) algorithm based on bucket-sorting for fast
        computation of standard clustering comparison measures. Available measures
        include adjusted Rand index (ARI), normalized information distance (NID),
        normalized mutual information (NMI), adjusted mutual information (AMI), normalized
        variation information (NVI) and entropy, as described in Vinh et al (2009)
        <doi:10.1145/1553374.1553511>. Include AMI (Adjusted Mutual Information) since
        version 0.1.2, a modified version of ARI (MARI) and simple Chi-square distance
        since version 1.0.0.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
