1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
|
# Copyright 2013-2018 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)
from spack import *
class Dakota(CMakePackage):
"""The Dakota toolkit provides a flexible, extensible interface between
analysis codes and iterative systems analysis methods. Dakota
contains algorithms for:
- optimization with gradient and non gradient-based methods;
- uncertainty quantification with sampling, reliability, stochastic
- expansion, and epistemic methods;
- parameter estimation with nonlinear least squares methods;
- sensitivity/variance analysis with design of experiments and
- parameter study methods.
These capabilities may be used on their own or as components within
advanced strategies such as hybrid optimization, surrogate-based
optimization, mixed integer nonlinear programming, or optimization
under uncertainty.
"""
homepage = 'https://dakota.sandia.gov/'
url = 'https://dakota.sandia.gov/sites/default/files/distributions/public/dakota-6.3-public.src.tar.gz'
version('6.3', '05a58d209fae604af234c894c3f73f6d')
variant('shared', default=True,
description='Enables the build of shared libraries')
variant('mpi', default=True, description='Activates MPI support')
depends_on('blas')
depends_on('lapack')
depends_on('mpi', when='+mpi')
depends_on('python')
depends_on('boost')
depends_on('cmake@2.8.9:', type='build')
def cmake_args(self):
spec = self.spec
args = [
'-DBUILD_SHARED_LIBS:BOOL=%s' % (
'ON' if '+shared' in spec else 'OFF'),
]
if '+mpi' in spec:
args.extend([
'-DDAKOTA_HAVE_MPI:BOOL=ON',
'-DMPI_CXX_COMPILER:STRING=%s' % join_path(spec['mpi'].mpicxx),
])
return args
|
