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|
# Copyright 2013-2023 Lawrence Livermore National Security, LLC and other
# Spack Project Developers. See the top-level COPYRIGHT file for details.
#
# SPDX-License-Identifier: (Apache-2.0 OR MIT)
import os
import shutil
from spack.package import *
class Amber(Package, CudaPackage):
"""Amber is a suite of biomolecular simulation programs together
with Amber tools.
A manual download is required for Ambers. Spack will search your current
directory for the download files. Alternatively, add the files to a mirror
so that Spack can find them. For instructions on how to set up a mirror, see
https://spack.readthedocs.io/en/latest/mirrors.html
Note: Only certain versions of ambertools are compatible with amber.
Only the latter version of ambertools for each amber version is supported.
"""
homepage = "https://ambermd.org/"
url = "file://{0}/Amber18.tar.bz2".format(os.getcwd())
manual_download = True
maintainers("hseara")
version("20", sha256="a4c53639441c8cc85adee397933d07856cc4a723c82c6bea585cd76c197ead75")
version("18", sha256="2060897c0b11576082d523fb63a51ba701bc7519ff7be3d299d5ec56e8e6e277")
version(
"16",
sha256="3b7ef281fd3c46282a51b6a6deed9ed174a1f6d468002649d84bfc8a2577ae5d",
deprecated=True,
)
resources = {
# [version amber, version ambertools , sha256sum]
"20": ("21", "f55fa930598d5a8e9749e8a22d1f25cab7fcf911d98570e35365dd7f262aaafd"),
# '20': ('20', 'b1e1f8f277c54e88abc9f590e788bbb2f7a49bcff5e8d8a6eacfaf332a4890f9'),
"18": ("19", "0c86937904854b64e4831e047851f504ec45b42e593db4ded92c1bee5973e699"),
"16": ("16", "7b876afe566e9dd7eb6a5aa952a955649044360f15c1f5d4d91ba7f41f3105fa"),
}
for ver, (ambertools_ver, ambertools_checksum) in resources.items():
resource(
when="@{0}".format(ver),
name="AmberTools",
url="file://{0}/AmberTools{1}.tar.bz2".format(os.getcwd(), ambertools_ver),
sha256=ambertools_checksum,
destination="",
placement="ambertools_tmpdir",
)
patches = [
("20", "1", "10780cb91a022b49ffdd7b1e2bf4a572fa4edb7745f0fc4e5d93b158d6168e42"),
("20", "2", "9c973e3f8f33a271d60787e8862901e8f69e94e7d80cda1695f7fad7bc396093"),
("20", "3", "acb359dc9b1bcff7e0f1965baa9f3f3dc18eeae99c49f1103c1e2986c0bbeed8"),
("20", "4", "fd93c74f5ec80689023648cdd12b2c5fb21a3898c81ebc3fa256ef244932562a"),
("20", "5", "8e46d5be28c002f560050a71f4851b01ef45a3eb66ac90d7e23553fae1370e68"),
("20", "6", "8cf9707b3d08ad9242326f02d1861831ad782c9bfb0c46e7b1f0d4640571d5c1"),
("20", "7", "143b6a09f774aeae8b002afffb00839212020139a11873a3a1a34d4a63fa995d"),
("20", "8", "a6fc6d5c8ba0aad3a8afe44d1539cc299ef78ab53721e28244198fd5425d14ad"),
("20", "9", "5ce6b534bab869b1e9bfefa353d7f578750e54fa72c8c9d74ddf129d993e78cf"),
("20", "10", "76a683435be7cbb860f5bd26f09a0548c2e77c5a481fc6d64b55a3a443ce481d"),
("20", "11", "f40b3612bd3e59efa2fa1ec06ed6fd92446ee0f1d5d99d0f7796f66b18e64060"),
("20", "12", "194119aed03f80677c4bab78a20fc09b0b3dc17c41a57c5eb3c912b2d73b18ab"),
("18", "1", "3cefac9a24ece99176d5d2d58fea2722de3e235be5138a128428b9260fe922ad"),
("18", "2", "3a0707a9a59dcbffa765dcf87b68001450095c51b96ec39d21260ba548a2f66a"),
("18", "3", "24c2e06f71ae553a408caa3f722254db2cbf1ca4db274542302184e3d6ca7015"),
("18", "4", "51de613e8fda20cc92979265cf7179288df8c1af4202f02794ad7327fda2657b"),
("18", "5", "c70354bfa312603e4819efce11a242ddcc3830895453d9424f0c83f7ae98bc5b"),
("18", "6", "3450433a8697b27e43172043be68d31515a7c7c00b2b248f84043dd70a2f59a8"),
("18", "7", "10ba41422b7a3eb5b32bc6453231100544cf620c764ab8332c629a3b9fc749d4"),
("18", "8", "73968dc0fd99bcbd5eae2223bd54f414879c062ac933948ba6b8b67383dc6a53"),
("18", "9", "e7d72fa31560f1e8ea572b8c73259d9fe512f56fbeb1b58ae014c43b9b5b6290"),
("18", "10", "1bee419a3b0b686a729aa12515b0f96a9a8f43478ca2c01ea1661cc1698c6266"),
("18", "11", "926557f0c137ea8dbf99a0487b25e131b12dfd39977d3e515f01f49187e6a09c"),
("18", "12", "7e2645d539d257f7064808308048622818c9083dedfa4ac0a958cd15181231ac"),
("18", "13", "95d2e33d0d05b8f9b6d8091d1c804271ec3a69e9aef792cc3b1ab8a2165eca3e"),
("18", "14", "a1adfb072f60ffcb67adb589df7c5578629441bee4ccb89ab635a6e8d7a35277"),
("18", "15", "4deb3df329c05729561dcc7310e49059eaddc504c4210ad31fad11dc70f61742"),
("18", "16", "cf02f9b949127363bad1aa700ab662a3c7cf9ce0e2e4750e066d2204b9500a99"),
("18", "17", "480300f949e0dd6402051810a9714adb388cf96e454a55346c76954cdd69413d"),
("16", "1.txt", "c7ef2303bb35131a48e2256c5a3c7b391efa73e2acf757d7e39760efb6320ed4"),
("16", "2", "a4db183f7c337a67f5d6b5015e3ae0af0d0edaa56894f0e9e3469c99708fed1c"),
("16", "3", "5b279531c42445c6f58281dd94588460218d2258ec9013c8447f3e2b7b81bf02"),
("16", "4", "035bddd63bc9d5fd6de26beab31887e5c14c3caa4958d2424d72f3c49832bd42"),
("16", "5", "02d8a1fcb6baa466de4e3683afa48076394acd805f490fbbe50ab19040675136"),
("16", "6", "69a3e64d75255d9179c98a2b3a63fe76d5be08c9fc41f27ac197663c97915113"),
("16", "7", "0d674c907758e90a168345e6b35b7a0de79c2ead390ab372465a354fcab67d17"),
("16", "8", "d722c0db46af905a5bd13b60e3130c4ddfb0c9da86df0a33253e5f8d53068946"),
("16", "9", "b563e744fbc50c1240d23df369750879df2cec69fba933704b97a73a66d9c4f1"),
("16", "10", "99affc65740080b7a1ab87c5c9119bf5be7cf47b2b2d8fc13407d35bd2ba6238"),
("16", "11", "86b89dbcae80ef48720fd3c7da88cffbdabfd4021af5a827339b56a33ddae27a"),
("16", "12", "c8d61d1efbd44086f88d74ad9e07dfdc3737dc7053c7d2503131ba0918973a03"),
("16", "13", "5ce28e6e0118a4780ad72fc096e617c874cde7d140e15f87451babb25aaf2d8f"),
("16", "14", "93703e734e76da30a5e050189a66d5a4d6bec5885752503c4c798e2f44049080"),
("16", "15", "a156ec246cd06688043cefde24de0d715fd46b08f5c0235015c2c5c3c6e37488"),
]
for ver, num, checksum in patches:
patch_url_str = "https://ambermd.org/bugfixes/{0}.0/update.{1}"
patch(patch_url_str.format(ver, num), sha256=checksum, level=0, when="@{0}".format(ver))
# Patch to move the namelist sebomd after the variable declarations
# Taken from http://archive.ambermd.org/202105/0098.html
patch("sebomd_fix.patch", when="@20")
# Patch to add ppc64le in config.guess
patch("ppc64le.patch", when="@18: target=ppc64le:")
# Patch to add aarch64 in config.guess
patch("aarch64.patch", when="@18: target=aarch64:")
# Workaround to modify the AmberTools script when using the NVIDIA
# compilers
patch("nvhpc.patch", when="@18: %nvhpc")
# Workaround to use NVIDIA compilers to build the bundled Boost
patch("nvhpc-boost.patch", when="@18: %nvhpc")
variant("mpi", description="Build MPI executables", default=True)
variant("openmp", description="Use OpenMP pragmas to parallelize", default=False)
variant("x11", description="Build programs that require X11", default=False)
variant("update", description="Update the sources prior compilation", default=False)
depends_on("zlib-api")
depends_on("bzip2")
depends_on("flex", type="build")
depends_on("bison", type="build")
depends_on("netcdf-fortran")
depends_on("parallel-netcdf", when="@20:") # when='AmberTools@21:'
depends_on("tcsh", type=("build"), when="@20") # when='AmberTools@21:'
# Potential issues with openmpi 4
# (http://archive.ambermd.org/201908/0105.html)
depends_on("mpi", when="+mpi")
# Cuda dependencies
# /AmberTools/src/configure2:1329
depends_on("cuda@:11.1", when="@20:+cuda") # when='AmberTools@21:'
depends_on("cuda@:10.2.89", when="@18+cuda")
depends_on("cuda@7.5.18", when="@:16+cuda")
# conflicts
conflicts("+x11", when="platform=cray", msg="x11 amber applications not available for cray")
conflicts("+openmp", when="%clang", msg="OpenMP not available for the clang compiler")
conflicts(
"+openmp", when="%apple-clang", msg="OpenMP not available for the Apple clang compiler"
)
conflicts("+openmp", when="%pgi", msg="OpenMP not available for the pgi compiler")
def url_for_version(self, version):
url = "file://{0}/Amber{1}.tar.bz2".format(os.getcwd(), version)
return url
def setup_build_environment(self, env):
amber_src = self.stage.source_path
env.set("AMBERHOME", amber_src)
# The bundled Boost does not detect the bzip2 package, but
# will silently fall back to a system install (if available).
# Force it to use the bzip2 package.
env.prepend_path("CPATH", self.spec["bzip2"].prefix.include)
# CUDA
if self.spec.satisfies("+cuda"):
env.set("CUDA_HOME", self.spec["cuda"].prefix)
def install(self, spec, prefix):
# The resource command does not allow us to expand the package in the
# root stage folder as required, as it already contains files. Here we
# install AmberTools where it should be, which results in 3 copies of
# the ambertools (~9 GB). This has to be improved in the future.
install_tree("ambertools_tmpdir", ".")
shutil.rmtree(join_path(self.stage.source_path, "ambertools_tmpdir"))
# Select compiler style
if self.spec.satisfies("%cce"):
compiler = "cray"
elif self.spec.satisfies("%gcc"):
compiler = "gnu"
elif self.spec.satisfies("%intel"):
compiler = "intel"
elif self.spec.satisfies("%pgi"):
compiler = "pgi"
elif self.spec.satisfies("%nvhpc"):
compiler = "pgi"
elif self.spec.satisfies("%clang"):
compiler = "clang"
else:
raise InstallError("Unknown compiler, exiting!!!")
# Alternative way to make csh/tcsh detection work with modules
filter_file(
r"-x /bin/csh",
"command -v csh &> /dev/null/",
"AmberTools/src/configure2",
string=True,
)
# Base configuration
conf = Executable("./configure")
base_args = ["--skip-python", "--with-netcdf", self.spec["netcdf-fortran"].prefix]
if self.spec.satisfies("~x11"):
base_args += ["-noX11"]
# Update the sources: Apply all upstream patches
if self.spec.satisfies("+update"):
update = Executable("./update_amber")
update(*(["--update"]))
else:
base_args += ["--no-updates"]
# Non-x86 architecture
if self.spec.target.family != "x86_64":
base_args += ["-nosse"]
# Single core
conf(*(base_args + [compiler]))
make("install")
# CUDA
if self.spec.satisfies("+cuda"):
conf(*(base_args + ["-cuda", compiler]))
make("install")
# MPI
if self.spec.satisfies("+mpi"):
conf(*(base_args + ["-mpi", compiler]))
make("install")
# Openmp
if self.spec.satisfies("+openmp"):
make("clean")
conf(*(base_args + ["-openmp", compiler]))
make("openmp")
# CUDA + MPI
if self.spec.satisfies("+cuda") and self.spec.satisfies("+mpi"):
make("clean")
conf(*(base_args + ["-cuda", "-mpi", compiler]))
make("install")
# just install everything that was built
install_tree(".", prefix)
def setup_run_environment(self, env):
env.set("AMBER_PREFIX", self.prefix)
env.set("AMBERHOME", self.prefix)
# CUDA
if self.spec.satisfies("+cuda"):
env.prepend_path("LD_LIBRARY_PATH", self.spec["cuda"].prefix.lib)
|
