#!/usr/bin/python # IRPF90 is a Fortran90 preprocessor written in Python for programming using # the Implicit Reference to Parameters (IRP) method. # Copyright (C) 2009 Anthony SCEMAMA # # This program is free software; you can redistribute it and/or modify # it under the terms of the GNU General Public License as published by # the Free Software Foundation; either version 2 of the License, or # (at your option) any later version. # # This program is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the # GNU General Public License for more details. # # You should have received a copy of the GNU General Public License along # with this program; if not, write to the Free Software Foundation, Inc., # 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA. # # Anthony Scemama # LCPQ - IRSAMC - CNRS # Universite Paul Sabatier # 118, route de Narbonne # 31062 Toulouse Cedex 4 # scemama@irsamc.ups-tlse.fr from variable import * from irpf90_t import * from command_line import command_line from util import * ###################################################################### def create_variables(): from preprocessed_text import preprocessed_text result = {} icount = 0 for filename, text in preprocessed_text: buffer = [] inside = False for line in text: if type(line) == Begin_provider: inside = True if inside: buffer.append(line) if type(line) == End_provider: inside = False icount += 1 v = Variable(buffer,icount) result[v.name] = v for other in v.others: result[other] = Variable(buffer,icount,other) buffer = [] return result variables = create_variables() ###################################################################### def build_use(vars): result = map(lambda x: " use %s"%(variables[x].fmodule), vars) result = make_single(result) return result ###################################################################### def call_provides(vars,opt=False): vars = make_single( map(lambda x: variables[x].same_as, vars) ) if opt: all_children = flatten( map(lambda x: variables[x].children, vars )) vars = filter(lambda x: x not in all_children,vars) def fun(x): result = [] result += [ \ " if (.not.%s_is_built) then"%(x) ] result += [ \ " call provide_%s"%(x) ] result += [ \ " endif" ] return result result = flatten ( map (fun, vars) ) return result ###################################################################### if __name__ == '__main__': for v in variables.keys(): print v