Sconstruct

#!/usr/bin/python invoke_using_scons
# -*- coding: utf-8 -*-
# This is a build script for use with flssvm.

import sys, os, platform

# version number for this flssvm build:
version = "0.5"

# version number for python, useful on Windows
pyversion = "%d.%d" % (sys.version_info[0],sys.version_info[1])

env = DefaultEnvironment()

#env.BuildDir('build/','src/')

FC='gfortran'
env['FORTRANMODDIRPREFIX']='-J'

env['FORTRANMODDIR']='include/'
env['FORTRANPATH']='include/'
env['F90PATH']='include/'
env['F95PATH']='include/'
env['BuildDir']='include/'
env['TargetDir']='include/'

if ARGUMENTS.get('FC','0') != '0':
	FC=ARGUMENTS.get('FC','0')
	env['FORTRAN']=FC
	env['link']=FC
	env['F90']=FC
	env['F95']=FC
	env['F77']=FC
	if FC == 'gfortran':
		env['FORTRANMODDIRPREFIX']='-J'
	if FC == 'g95':
		env['FORTRANMODDIRPREFIX']='-fmod='

if ARGUMENTS.get('CF','0') != '0':
	CF=ARGUMENTS.get('CF','0')
	env['F95FLAGS']=CF
	env['F90FLAGS']=CF
	env['FORTRANFLAGS']=CF


src_files = ['src/flssvm_utilities.f90',
                      'src/flssvm_predict.f90',
                      'src/flssvm_train.f90',
                      'src/flssvm_main.f90']

flssvm = env.Program('bin/flssvm',src_files)


#if ARGUMENTS.get('install','0') != ' ':
	#print ARGUMENTS.get('install','0')
regression = env.Program('bin/svm_r_datagen','extra/svm_r_datagen.f90')
clasification = env.Program('bin/svm_c_datagen','extra/svm_c_datagen.f90')