mirror of https://gitlab.com/scemama/irpf90.git
78 lines
2.5 KiB
Python
78 lines
2.5 KiB
Python
#!/usr/bin/python
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# IRPF90 is a Fortran90 preprocessor written in Python for programming using
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# the Implicit Reference to Parameters (IRP) method.
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# Copyright (C) 2009 Anthony SCEMAMA
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#
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# This program is free software; you can redistribute it and/or modify
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# it under the terms of the GNU General Public License as published by
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# the Free Software Foundation; either version 2 of the License, or
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# (at your option) any later version.
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#
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# This program is distributed in the hope that it will be useful,
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# but WITHOUT ANY WARRANTY; without even the implied warranty of
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# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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# GNU General Public License for more details.
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#
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# You should have received a copy of the GNU General Public License along
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# with this program; if not, write to the Free Software Foundation, Inc.,
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# 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA.
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#
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# Anthony Scemama
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# LCPQ - IRSAMC - CNRS
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# Universite Paul Sabatier
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# 118, route de Narbonne
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# 31062 Toulouse Cedex 4
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# scemama@irsamc.ups-tlse.fr
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from variable import *
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from irpf90_t import *
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from util import *
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######################################################################
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def create_variables():
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from preprocessed_text import preprocessed_text
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result = {}
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for filename, text in preprocessed_text:
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buffer = []
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inside = False
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for line in text:
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if isinstance(line,Begin_provider):
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inside = True
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if inside:
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buffer.append(line)
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if isinstance(line,End_provider):
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inside = False
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v = Variable(buffer)
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result[v.name] = v
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for other in v.others:
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result[other] = Variable(buffer,other)
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buffer = []
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return result
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variables = create_variables()
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######################################################################
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def build_use(vars):
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result = map(lambda x: " use %s"%(variables[x].fmodule), vars)
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result = make_single(result)
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return result
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######################################################################
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def call_provides(vars,opt=False):
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vars = make_single( map(lambda x: variables[x].same_as, vars) )
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if opt:
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all_children = flatten( map(lambda x: variables[x].children, vars ))
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vars = filter(lambda x: x not in all_children,vars)
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def fun(x):
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return [ \
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" if (.not.%s_is_built) then"%(x),
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" call provide_%s"%(x),
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" endif" ]
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return flatten ( map (fun, vars) )
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######################################################################
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if __name__ == '__main__':
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for v in variables.keys():
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print v
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