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authorV3n3RiX <venerix@redcorelinux.org>2021-01-01 21:06:00 +0000
committerV3n3RiX <venerix@redcorelinux.org>2021-01-01 21:06:00 +0000
commit129160ec854dca4c3fedb5bcfbcb56930371da0f (patch)
tree53bf797418ac5e9b99c41ca0382c87b82421e5de /metadata/md5-cache/sci-physics/espresso-4.0_pre20170228
parent441d1370330332b7d78f238d2f5e13f7aed5e4e0 (diff)
gentoo new year resync : 01.01.2021
Diffstat (limited to 'metadata/md5-cache/sci-physics/espresso-4.0_pre20170228')
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-DEFINED_PHASES=compile configure install postinst prepare setup test unpack
-DEPEND=python_single_target_python3_6? ( dev-lang/python:3.6 >=dev-lang/python-exec-2:=[python_targets_python3_6] ) python_single_target_python3_6? ( >dev-python/cython-0.22[python_targets_python3_6(-)] dev-python/numpy[python_targets_python3_6(-)] ) cuda? ( >=dev-util/nvidia-cuda-toolkit-4.2.9-r1 ) fftw? ( sci-libs/fftw:3.0 ) dev-libs/boost:=[mpi] hdf5? ( sci-libs/hdf5:=[cxx] ) doc? ( app-doc/doxygen[dot] dev-texlive/texlive-latexextra virtual/latex-base ) dev-util/ninja >=dev-util/cmake-3.9.6
-DESCRIPTION=Extensible Simulation Package for Research on Soft matter
-EAPI=6
-HOMEPAGE=http://espressomd.org
-IUSE=cuda doc examples +fftw +hdf5 test +python_single_target_python3_6 savedconfig
-KEYWORDS=~amd64 ~x86 ~amd64-linux ~x86-macos
-LICENSE=GPL-3
-RDEPEND=python_single_target_python3_6? ( dev-lang/python:3.6 >=dev-lang/python-exec-2:=[python_targets_python3_6] ) python_single_target_python3_6? ( >dev-python/cython-0.22[python_targets_python3_6(-)] dev-python/numpy[python_targets_python3_6(-)] ) cuda? ( >=dev-util/nvidia-cuda-toolkit-4.2.9-r1 ) fftw? ( sci-libs/fftw:3.0 ) dev-libs/boost:=[mpi] hdf5? ( sci-libs/hdf5:=[cxx] )
-REQUIRED_USE=^^ ( python_single_target_python3_6 )
-RESTRICT=!test? ( test )
-SLOT=0
-SRC_URI=https://github.com/espressomd/espresso/archive/8a021f5e8b1d508f356f4419d360bd9dfb7fec2c.tar.gz -> espresso-4.0_pre20170228.tar.gz
-_eclasses_=cmake-utils 77cd39e6009811bf97a59d91ffd5b54f desktop 8f9bfcc33705104f56748d9dedb3177a edos2unix 33e347e171066657f91f8b0c72ec8773 epatch 0a83d4ccf28a70ddf61e7073c96e515a estack d780995dc525ff7e6a2c4c043ffec242 eutils 69bd92aa099f708425db9f1f01d61213 flag-o-matic fb54c9a3302f35aeae1c84f363e776f7 l10n 8cdd85e169b835d518bc2fd59f780d8e ltprune 4f3f2db5ce3ccbeeacdf3f94954043aa multilib d410501a125f99ffb560b0c523cd3d1e multiprocessing cac3169468f893670dac3e7cb940e045 ninja-utils 132cbb376048d079b5a012f5467c4e7f portability ef17692c89618f4fb47984b1186bb484 preserve-libs ef207dc62baddfddfd39a164d9797648 python-single-r1 d3100de905f978df912135806cf27188 python-utils-r1 e41e32d357e5bdd388b5be2ce24f3883 savedconfig 0bc45cb0429003c9abc73bae24a0d5bd toolchain-funcs 605c126bed8d87e4378d5ff1645330cb vcs-clean 2a0f74a496fa2b1552c4f3398258b7bf vcs-snapshot b1abf460a493fc59ebb25de0df3f09dd wrapper 4251d4c84c25f59094fd557e0063a974 xdg-utils ff2ff954e6b17929574eee4efc5152ba
-_md5_=b985499b42cdc115d0a7a5f2716952c4