# This file created by conda-build 3.21.4
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Wed May 26 00:25:09 2021
# ------------------------------------------------

package:
  name: r-ndjson
  version: 0.8.0
source:
  sha256: 22a037dbad0ae17e0ac442f45370fa7b4c4cc23f66ef1a949fe4e910dd5b7f53
  url:
    - https://cran.r-project.org/src/contrib/Archive/ndjson/ndjson_0.8.0.tar.gz
    - https://cran.r-project.org/src/contrib/ndjson_0.8.0.tar.gz
build:
  merge_build_host: true
  number: '3'
  rpaths:
    - lib/
    - lib/R/lib/
  string: r41ha856d6a_3
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 2021.2.0 h57928b3_616
    - libblas 3.9.0 8_mkl
    - liblapack 3.9.0 8_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 2020.4 hb70f87d_311
    - msys2-conda-epoch 20160418 1
    - r-assertthat 0.2.1 r41hc72bb7e_2
    - r-base 4.1.0 hddad469_1
    - r-cli 2.5.0 r41hc72bb7e_0
    - r-crayon 1.4.1 r41hc72bb7e_0
    - r-data.table 1.14.0 r41h6d2157b_0
    - r-ellipsis 0.3.2 r41h6d2157b_0
    - r-fansi 0.5.0 r41h6d2157b_0
    - r-glue 1.4.2 r41h6d2157b_0
    - r-lifecycle 1.0.0 r41hc72bb7e_0
    - r-magrittr 2.0.1 r41h6d2157b_1
    - r-pillar 1.6.1 r41hc72bb7e_0
    - r-pkgconfig 2.0.3 r41hc72bb7e_1
    - r-rcpp 1.0.6 r41ha856d6a_0
    - r-rlang 0.4.11 r41h6d2157b_0
    - r-tibble 3.1.2 r41h6d2157b_0
    - r-utf8 1.2.1 r41h6d2157b_0
    - r-vctrs 0.3.8 r41h6d2157b_1
  run:
    - m2w64-gcc-libs
    - r-base >=4.1,<4.2.0a0
    - r-data.table
    - r-rcpp
    - r-tibble
    - zlib
test:
  commands:
    - '"%R%" -e "library(''ndjson'')"'
about:
  home: http://gitlab.com/hrbrmstr/ndjson
  license: MIT
  license_family: MIT
  license_file:
    - D:\bld\r-ndjson_1621988921331\_h_env/lib/R/share/licenses/MIT
    - LICENSE
  summary: Streaming 'JSON' ('ndjson') has one 'JSON' record per-line and many modern
    'ndjson' files contain large numbers of records. These constructs may not be columnar
    in nature, but it is often useful to read in these files and "flatten" the structure
    out to enable working with the data in an R 'data.frame'-like context. Functions
    are provided that make it possible to read in plain 'ndjson' files or compressed
    ('gz') 'ndjson' files and either validate the format of the records or create
    "flat" 'data.table' structures from them.
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - conda-forge/r
    - mxr-conda
    - ndmaxar
    - oblute
    - rluria14
