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DEFINED_PHASES=compile configure install prepare setup test
DEPEND=app-arch/gzip media-libs/libpng:0 sys-libs/zlib mpi? ( virtual/mpi sci-libs/hdf5[mpi] ) python? ( python_targets_python2_7? ( >=dev-lang/python-2.7.17-r1:2.7 ) python_targets_python3_6? ( >=dev-lang/python-3.6.10:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] ) sci-libs/voro++ virtual/blas virtual/lapack sci-libs/fftw:3.0 netcdf? ( sci-libs/netcdf ) cuda? ( >=dev-util/nvidia-cuda-toolkit-4.2.9-r1 ) dev-cpp/eigen:3 sys-devel/make >=dev-util/cmake-3.9.6 virtual/fortran
DESCRIPTION=Large-scale Atomic/Molecular Massively Parallel Simulator
EAPI=6
HOMEPAGE=https://lammps.sandia.gov/
IUSE=cuda examples gzip lammps-memalign mpi netcdf python test python_targets_python2_7 python_targets_python3_6
KEYWORDS=~amd64 ~x86
LICENSE=GPL-2
RDEPEND=app-arch/gzip media-libs/libpng:0 sys-libs/zlib mpi? ( virtual/mpi sci-libs/hdf5[mpi] ) python? ( python_targets_python2_7? ( >=dev-lang/python-2.7.17-r1:2.7 ) python_targets_python3_6? ( >=dev-lang/python-3.6.10:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_6(-)] ) sci-libs/voro++ virtual/blas virtual/lapack sci-libs/fftw:3.0 netcdf? ( sci-libs/netcdf ) cuda? ( >=dev-util/nvidia-cuda-toolkit-4.2.9-r1 ) dev-cpp/eigen:3 virtual/fortran
REQUIRED_USE=python? ( || ( python_targets_python2_7 python_targets_python3_6 ) )
RESTRICT=!test? ( test )
SLOT=0
SRC_URI=https://github.com/lammps/lammps/archive/patch_8Mar2018.tar.gz -> lammps-patch_8Mar2018.tar.gz
_eclasses_=cmake-utils be72eac95bd029ad1d81d5d656c3c83b desktop 7fd20552ce4cc97e8acb132a499a7dd8 epatch ed88001f77c6dd0d5f09e45c1a5b480e estack 686eaab303305a908fd57b2fd7617800 eutils fcb2aa98e1948b835b5ae66ca52868c5 flag-o-matic f1194291b9a1baca337c1c89b5f7f365 fortran-2 1a8c9d0b2d30f756bae6be4e9b39e46b ltprune 2729691420b6deeda2a90b1f1183fb55 multibuild 40fe59465edacd730c644ec2bc197809 multilib 318e8ae683e57fd3ccd0d31a769d8ee8 multiprocessing cac3169468f893670dac3e7cb940e045 ninja-utils 132cbb376048d079b5a012f5467c4e7f preserve-libs ef207dc62baddfddfd39a164d9797648 python-r1 8386b016a2b3bbefa88443fdaa898057 python-utils-r1 00efd460b0996a1e4aab8825dded5700 toolchain-funcs 512eb3367f507ebaa1d1d43ab7d66e6c vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf xdg-utils ff2ff954e6b17929574eee4efc5152ba
_md5_=b09f7124ffef03bb4814bdfdf42f08aa
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