# This file created by conda-build 3.19.2
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Mon May  4 07:17:42 2020
# ------------------------------------------------

package:
    name: r-tidygraph
    version: 1.1.2
source:
    sha256: 5642001d4cccb122d66481b7c61a06c724c02007cbd356ee61cb29726a56fafe
    url:
        - https://cran.r-project.org/src/contrib/Archive/tidygraph/tidygraph_1.1.2.tar.gz
        - https://cran.r-project.org/src/contrib/tidygraph_1.1.2.tar.gz
build:
    merge_build_host: true
    number: '2'
    rpaths:
        - lib/
        - lib/R/lib/
    string: r40h796a38f_2
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 2020.0 166
        - libblas 3.8.0 15_mkl
        - libiconv 1.15 hfa6e2cd_1006
        - liblapack 3.8.0 15_mkl
        - libxml2 2.9.10 h9ce36c8_0
        - 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-icu 58.2 heb44b8b_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 2020.0 166
        - msys2-conda-epoch 20160418 1
        - r-assertthat 0.2.1 r40h6115d3f_2
        - r-backports 1.1.6 r40hda5aaf8_2
        - r-base 4.0.0 h588f722_3
        - r-cli 2.0.2 r40h6115d3f_1
        - r-crayon 1.3.4 r40h6115d3f_1003
        - r-digest 0.6.25 r40h796a38f_2
        - r-dplyr 0.8.5 r40h796a38f_1
        - r-ellipsis 0.3.0 r40hda5aaf8_1
        - r-fansi 0.4.1 r40hda5aaf8_1
        - r-glue 1.4.0 r40hda5aaf8_1
        - r-igraph 1.2.5 r40h7f2dcbc_1
        - r-lattice 0.20_41 r40hda5aaf8_2
        - r-lifecycle 0.2.0 r40h6115d3f_1
        - r-magrittr 1.5 r40h6115d3f_1003
        - r-matrix 1.2_18 r40h0adb578_3
        - r-pillar 1.4.3 r40h6115d3f_1
        - r-pkgconfig 2.0.3 r40h6115d3f_1
        - r-plogr 0.2.0 r40h6115d3f_1003
        - r-purrr 0.3.4 r40hda5aaf8_1
        - r-r6 2.4.1 r40h6115d3f_1
        - r-rcpp 1.0.4.6 r40h796a38f_1
        - r-rlang 0.4.6 r40hda5aaf8_0
        - r-stringi 1.4.6 r40h796a38f_2
        - r-tibble 3.0.1 r40hda5aaf8_1
        - r-tidyr 1.0.2 r40h796a38f_1
        - r-tidyselect 1.0.0 r40h6115d3f_1
        - r-utf8 1.1.4 r40hda5aaf8_1003
        - r-vctrs 0.2.4 r40hda5aaf8_1
        - r-zeallot 0.1.0 r40h6115d3f_1002
        - vc 14.1 h869be7e_1
        - vs2015_runtime 14.16.27012 h30e32a0_2
        - zlib 1.2.11 h2fa13f4_1006
    run:
        - m2w64-gcc-libs
        - r-base >=4.0,<4.1.0a0
        - r-dplyr >=0.8
        - r-igraph
        - r-magrittr
        - r-pillar
        - r-r6
        - r-rcpp
        - r-rlang
        - r-tibble
        - r-tidyr
test:
    commands:
        - '"%R%" -e "library(''tidygraph'')"'
about:
    home: https://github.com/thomasp85/tidygraph
    license: MIT
    license_family: MIT
    license_file:
        - D:\bld\r-tidygraph_1588576819738\_h_env/lib/R/share/licenses/MIT
        - LICENSE
    summary: A graph, while not "tidy" in itself, can be thought of as two tidy data
        frames describing node and edge data respectively. 'tidygraph' provides an
        approach to manipulate these two virtual data frames using the API defined
        in the 'dplyr' package, as well as provides tidy interfaces to  a lot of common
        graph algorithms.
extra:
    copy_test_source_files: true
    final: true
    recipe-maintainers:
        - conda-forge/r
        - nick-youngblut
