# This file created by conda-build 3.18.11
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Tue Dec 24 01:03:46 2019
# ------------------------------------------------

package:
    name: r-bio3d
    version: '2.4_0'
source:
    sha256: 9ab86e299adee14e9a87ec87284f4c52a0114d303f21d166aaa0dc766f987746
    url:
        - https://cran.r-project.org/src/contrib/Archive/bio3d/bio3d_2.4-0.tar.gz
        - https://cran.r-project.org/src/contrib/bio3d_2.4-0.tar.gz
build:
    merge_build_host: true
    number: '0'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r35h796a38f_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
        - 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-openblas 0.2.19 1
        - m2w64-pcre 8.38 2
        - 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
        - msys2-conda-epoch 20160418 1
        - r-base 3.5.1 hfa6e2cd_1011
        - r-rcpp 1.0.3 r35h796a38f_0
    run:
        - m2w64-gcc-libs
        - r-base >=3.5,<3.6.0a0
        - r-rcpp
test:
    commands:
        - '"%R%" -e "library(''bio3d'')"'
about:
    home: http://thegrantlab.org/bio3d/, http://bitbucket.org/Grantlab/bio3d
    license: GPL-2
    license_family: GPL2
    license_file:
        - D:\bld\r-bio3d_1577149601476\_h_env/lib/R/share/licenses/GPL-2
    summary: Utilities to process, organize and explore protein structure, sequence
        and dynamics data. Features include the ability to read and write structure,
        sequence and dynamic trajectory data, perform sequence and structure database
        searches, data summaries, atom selection, alignment, superposition, rigid
        core identification, clustering, torsion analysis, distance matrix analysis,
        structure and sequence conservation analysis, normal mode analysis, principal
        component analysis of heterogeneous structure data, and correlation network
        analysis from normal mode and molecular dynamics data. In addition, various
        utility functions are provided to enable the statistical and graphical power
        of the R environment to work with biological sequence and structural data.
        Please refer to the URLs below for more information.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - ArneKr
        - FrodePedersen
        - MathiasHaudgaard
        - conda-forge/r
