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# This file is part of CasADi.
#
# CasADi -- A symbolic framework for dynamic optimization.
# Copyright (C) 2010-2023 Joel Andersson, Joris Gillis, Moritz Diehl,
# KU Leuven. All rights reserved.
# Copyright (C) 2011-2014 Greg Horn
#
# CasADi is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 3 of the License, or (at your option) any later version.
#
# CasADi 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
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with CasADi; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
from casadi import *
# A simple case of Callback
# ================================
# Callback allows the user to create functions that can be embedded into
# CasADi expressions. The user creates a class that inherits from this class
# and implements a subset of the virtual methods.
# Although Callback itself is implemented is C++, the virtual methods can be
# implemented in Python or MATLAB thanks to cross-language polymorphism as
# supported by the SWIG framework.
class Fac(Callback):
def __init__(self, name, opts={}):
Callback.__init__(self)
self.construct(name, opts)
def get_n_in(self): return 1
def get_n_out(self): return 1
def eval(self, arg):
x = arg[0]
y = 1
for i in range(int(x)):
y*=(i+1)
return [y]
fac = Fac('fac')
# Evaluate numerically
y = fac(4)
print("4! = ", y)
# Using the function in a graph
# ==============================
x = MX.sym("x")
y = fac(x)
f = Function('f', [x],[y])
y = f(5)
print("5! = ", y)
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