mirror of
https://gitlab.com/scemama/irpf90.git
synced 2024-11-07 22:53:45 +01:00
5565591b8f
Version:1.1.56
114 lines
3.8 KiB
Python
114 lines
3.8 KiB
Python
#!/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 irpf90_t import *
|
|
from util import *
|
|
import error
|
|
|
|
class Sub(object):
|
|
|
|
############################################################
|
|
def __init__(self,text):
|
|
assert type(text) == list
|
|
assert len(text) > 0
|
|
assert type(text[0]) in [Subroutine, Function]
|
|
self.text = text
|
|
|
|
############################################################
|
|
def name(self):
|
|
'''Name is lowercase'''
|
|
if '_name' not in self.__dict__:
|
|
self._name = find_subname(self.line)
|
|
return self._name
|
|
name = property(name)
|
|
|
|
############################################################
|
|
def is_function(self):
|
|
if '_is_function' not in self.__dict__:
|
|
self._is_function = "function" in self.line.lower
|
|
return self._is_function
|
|
is_function = property(is_function)
|
|
|
|
############################################################
|
|
def doc(self):
|
|
if '_doc' not in self.__dict__:
|
|
def f(l): return
|
|
buffer = filter(lambda l:type(l) == Doc, self.text)
|
|
self._doc = map(lambda l: l.text[1:], buffer)
|
|
if buffer == []:
|
|
error.warn(None,"Subroutine %s is not documented"%(self.name))
|
|
return self._doc
|
|
doc = property(doc)
|
|
|
|
############################################################
|
|
def line(self):
|
|
if '_line' not in self.__dict__:
|
|
self._line = self.text[0]
|
|
return self._line
|
|
line = property(line)
|
|
|
|
############################################################
|
|
def touches(self):
|
|
if '_touches' not in self.__dict__:
|
|
from subroutines import subroutines
|
|
self._touches = []
|
|
for line in filter(lambda x: type(x) in [Touch, SoftTouch],self.text):
|
|
self._touches += line.text.split()[1:]
|
|
for sub in self.calls:
|
|
if sub in subroutines:
|
|
self._touches += subroutines[sub].touches
|
|
self._touches = make_single(self._touches)
|
|
return self._touches
|
|
touches = property(touches)
|
|
|
|
############################################################
|
|
def regexp(self):
|
|
if '_regexp' not in self.__dict__:
|
|
import re
|
|
self._regexp = re.compile( \
|
|
r"([^a-z0-9'\"_]|^)%s([^a-z0-9_]|$)"%(self.name),re.I)
|
|
return self._regexp
|
|
regexp = property(regexp)
|
|
|
|
############################################################
|
|
def calls(self):
|
|
if '_calls' not in self.__dict__:
|
|
buffer = filter(lambda x: type(x) == Call,self.text)
|
|
self._calls = []
|
|
for line in buffer:
|
|
sub = line.text.split('(',1)[0].split()[1]
|
|
self._calls.append(sub)
|
|
self._calls = make_single(self._calls)
|
|
return self._calls
|
|
calls = property(calls)
|
|
|
|
######################################################################
|
|
if __name__ == '__main__':
|
|
from preprocessed_text import preprocessed_text
|
|
from subroutines import subroutines
|
|
print subroutines['brownian_step'].touches
|