# This file created by conda-build 3.21.8
# meta.yaml template originally from:
# D:\a\1\s\recipe, last modified Tue Feb 22 14:00:30 2022
# ------------------------------------------------

package:
  name: r-spatstat.random
  version: '2.1_0'
source:
  sha256: 045fabb195f510e05fbd62d7b8f2af99541dc0e2c6a8179035eb381c89a1ff3d
  url:
    - https://cran.r-project.org/src/contrib/Archive/spatstat.random/spatstat.random_2.1-0.tar.gz
    - https://cran.r-project.org/src/contrib/spatstat.random_2.1-0.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 2022.0.0 h57928b3_3663
    - libblas 3.9.0 13_win64_mkl
    - liblapack 3.9.0 13_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-abind 1.4_5 r40hc72bb7e_1003
    - r-base 4.0.5 hddad469_4
    - r-deldir 1.0_6 r40he816bda_0
    - r-lattice 0.20_45 r40h6d2157b_0
    - r-matrix 1.4_0 r40hd2e18ed_0
    - r-polyclip 1.10_0 r40ha856d6a_2
    - r-spatstat.data 2.1_2 r40hc72bb7e_0
    - r-spatstat.geom 2.3_2 r40h6d2157b_0
    - r-spatstat.sparse 2.1_0 r40h6d2157b_0
    - r-spatstat.utils 2.3_0 r40hcd874cb_0
    - r-tensor 1.5 r40hc72bb7e_1003
    - tbb 2021.5.0 h2d74725_0
    - 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 >=4.0,<4.1.0a0
    - r-spatstat.data >=2.1_0
    - r-spatstat.geom >=2.3_0
    - r-spatstat.utils >=2.2_0
test:
  commands:
    - '"%R%" -e "library(''spatstat.random'')"'
about:
  home: http://spatstat.org/
  license: GPL-2.0-or-later
  license_family: GPL2
  license_file:
    - D:\bld\r-spatstat.random_1645538784426\_h_env/lib/R/share/licenses/GPL-2
  summary: Functionality for random generation of spatial data in the 'spatstat' family
    of packages. Generates random spatial patterns of points according to many simple
    rules (complete spatial randomness, Poisson, binomial, random grid, systematic,
    cell), randomised alteration of patterns (thinning, random shift, jittering),  simulated
    realisations of random point processes (simple sequential inhibition, Matern inhibition
    models, Matern cluster process, Neyman-Scott cluster processes, log-Gaussian Cox
    processes, product shot noise cluster processes) and simulation of Gibbs point
    processes (Metropolis-Hastings birth-death-shift algorithm, alternating Gibbs
    sampler). Also generates random spatial patterns of line segments, random tessellations,
    and random images (random noise, random mosaics). Excludes random generation on
    a linear network, which is covered by the separate package 'spatstat.linnet'.
extra:
  copy_test_source_files: true
  final: true
  recipe-maintainers:
    - conda-forge/r
