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-2.7.5-r2:2.7 ) python_targets_python3_5? ( dev-lang/python:3.5 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_5(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_5(-),-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_5 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-2.7.5-r2:2.7 ) python_targets_python3_5? ( dev-lang/python:3.5 ) python_targets_python3_6? ( dev-lang/python:3.6 ) >=dev-lang/python-exec-2:=[python_targets_python2_7(-)?,python_targets_python3_5(-)?,python_targets_python3_6(-)?,-python_single_target_python2_7(-),-python_single_target_python3_5(-),-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_5 python_targets_python3_6 ) )
SLOT=0
SRC_URI=https://github.com/lammps/lammps/archive/patch_8Mar2018.tar.gz -> lammps-patch_8Mar2018.tar.gz
_eclasses_=cmake-utils	91d6ef31dc426240577497cacbf2508c	desktop	b1d22ac8bdd4679ab79c71aca235009d	epatch	a1bf4756dba418a7238f3be0cb010c54	estack	43ddf5aaffa7a8d0482df54d25a66a1f	eutils	6e6c2737b59a4b982de6fb3ecefd87f8	flag-o-matic	7ba73aee7fe4462b3a745e3645ab92ca	fortran-2	f75a2d9321053acf424991e805f32ede	ltprune	2729691420b6deeda2a90b1f1183fb55	multibuild	40fe59465edacd730c644ec2bc197809	multilib	1d91b03d42ab6308b5f4f6b598ed110e	multiprocessing	cac3169468f893670dac3e7cb940e045	ninja-utils	132cbb376048d079b5a012f5467c4e7f	preserve-libs	ef207dc62baddfddfd39a164d9797648	python-r1	ce1cd23cfdc1848e8e32743efe34f299	python-utils-r1	08e17157a6807add7db1f8d01e7e391f	toolchain-funcs	2f8b8f320bee13b71a8a54cc6d09e08a	vcs-clean	2a0f74a496fa2b1552c4f3398258b7bf	xdg-utils	ff2ff954e6b17929574eee4efc5152ba
_md5_=903475e4ed4c4de6f31c7cb1a58f19b2