# This file created by conda-build 3.21.9
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Wed Jun  1 02:23:00 2022
# ------------------------------------------------

package:
  name: r-fastverse
  version: 0.2.4
source:
  sha256: c09f39f3fca51190fbddbbc020ed9bbc12fe634c15b053e1224b14bd9d87df1e
  url:
    - https://cran.r-project.org/src/contrib/Archive/fastverse/fastverse_0.2.4.tar.gz
    - https://cran.r-project.org/src/contrib/fastverse_0.2.4.tar.gz
build:
  merge_build_host: true
  number: '0'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r41h6d2157b_0
requirements:
  build:
    - m2-gcc-libs 5.3.0 4
    - m2-libbz2 1.0.6 3
    - m2-msys2-runtime 2.5.0.17080.65c939c 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 2022.1.0 h57928b3_3787
    - libblas 3.9.0 14_win64_mkl
    - liblapack 3.9.0 14_win64_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 3
    - 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 2022.0.0 h0e2418a_796
    - msys2-conda-epoch 20160418 1
    - r-base 4.1.3 hddad469_1
    - r-collapse 1.7.6 r41ha856d6a_0
    - r-data.table 1.14.2 r41h6d2157b_0
    - r-fst 0.9.8 r41ha856d6a_0
    - r-fstcore 0.9.12 r41ha856d6a_0
    - r-kit 0.0.11 r41h6d2157b_0
    - r-magrittr 2.0.3 r41h6d2157b_0
    - r-matrixstats 0.62.0 r41h6d2157b_0
    - r-rcpp 1.0.8.3 r41ha856d6a_0
    - tbb 2021.5.0 h2d74725_1
    - ucrt 10.0.20348.0 h57928b3_0
    - vc 14.2 hb210afc_6
    - vs2015_runtime 14.29.30037 h902a5da_6
  run:
    - m2w64-gcc-libs
    - r-base >=4.1,<4.2.0a0
    - r-collapse
    - r-data.table
    - r-fst
    - r-kit
    - r-magrittr
    - r-matrixstats
test:
  commands:
    - '"%R%" -e "library(''fastverse'')"'
about:
  home: https://sebkrantz.github.io/fastverse/, https://github.com/SebKrantz/fastverse
  license: GPL-3.0-only
  license_family: GPL3
  license_file:
    - D:\bld\r-fastverse_1654050354631\_h_env/lib/R/share/licenses/GPL-3
  summary: 'Easy installation, loading and management, of a complementary set of high-performance
    packages for statistical computing and data manipulation. The core ''fastverse''
    consists of 6 packages: ''data.table'', ''collapse'', ''matrixStats'', ''kit'',
    ''magrittr'' and ''fst'', that jointly only depend on ''Rcpp''. These packages
    are attached and harmonized through the ''fastverse''. In addition, the ''fastverse''
    can be freely and permanently extended with additional packages, both globally
    or for individual projects. Entirely separate package verses can also be created.
    Selected fast and low-dependency packages are suggested for various topics such
    as time series, dates and times, strings, spatial data, statistics and data serialization
    (see GitHub / website).'
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - SebKrantz
    - conda-forge/r
