|  |  |  | #
 | 
					
						
							|  |  |  | # Copyright 2019 Gianluca Frison, Dimitris Kouzoupis, Robin Verschueren,
 | 
					
						
							|  |  |  | # Andrea Zanelli, Niels van Duijkeren, Jonathan Frey, Tommaso Sartor,
 | 
					
						
							|  |  |  | # Branimir Novoselnik, Rien Quirynen, Rezart Qelibari, Dang Doan,
 | 
					
						
							|  |  |  | # Jonas Koenemann, Yutao Chen, Tobias Schöls, Jonas Schlagenhauf, Moritz Diehl
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # This file is part of acados.
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # The 2-Clause BSD License
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # Redistribution and use in source and binary forms, with or without
 | 
					
						
							|  |  |  | # modification, are permitted provided that the following conditions are met:
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # 1. Redistributions of source code must retain the above copyright notice,
 | 
					
						
							|  |  |  | # this list of conditions and the following disclaimer.
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # 2. Redistributions in binary form must reproduce the above copyright notice,
 | 
					
						
							|  |  |  | # this list of conditions and the following disclaimer in the documentation
 | 
					
						
							|  |  |  | # and/or other materials provided with the distribution.
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
 | 
					
						
							|  |  |  | # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
 | 
					
						
							|  |  |  | # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
 | 
					
						
							|  |  |  | # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
 | 
					
						
							|  |  |  | # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
 | 
					
						
							|  |  |  | # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
 | 
					
						
							|  |  |  | # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
 | 
					
						
							|  |  |  | # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
 | 
					
						
							|  |  |  | # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
 | 
					
						
							|  |  |  | # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
 | 
					
						
							|  |  |  | # POSSIBILITY OF SUCH DAMAGE.;
 | 
					
						
							|  |  |  | #
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  | import os
 | 
					
						
							|  |  |  | from casadi import *
 | 
					
						
							|  |  |  | from .utils import ALLOWED_CASADI_VERSIONS, casadi_length, casadi_version_warning
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  | def generate_c_code_nls_cost( model, cost_name, stage_type, opts ):
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     casadi_version = CasadiMeta.version()
 | 
					
						
							|  |  |  |     casadi_opts = dict(mex=False, casadi_int='int', casadi_real='double')
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     if casadi_version not in (ALLOWED_CASADI_VERSIONS):
 | 
					
						
							|  |  |  |         casadi_version_warning(casadi_version)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     x = model.x
 | 
					
						
							|  |  |  |     p = model.p
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     if isinstance(x, casadi.MX):
 | 
					
						
							|  |  |  |         symbol = MX.sym
 | 
					
						
							|  |  |  |     else:
 | 
					
						
							|  |  |  |         symbol = SX.sym
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     if stage_type == 'terminal':
 | 
					
						
							|  |  |  |         middle_name = '_cost_y_e'
 | 
					
						
							|  |  |  |         u = symbol('u', 0, 0)
 | 
					
						
							|  |  |  |         cost_expr = model.cost_y_expr_e
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     elif stage_type == 'initial':
 | 
					
						
							|  |  |  |         middle_name = '_cost_y_0'
 | 
					
						
							|  |  |  |         u = model.u
 | 
					
						
							|  |  |  |         cost_expr = model.cost_y_expr_0
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     elif stage_type == 'path':
 | 
					
						
							|  |  |  |         middle_name = '_cost_y'
 | 
					
						
							|  |  |  |         u = model.u
 | 
					
						
							|  |  |  |         cost_expr = model.cost_y_expr
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     # set up directory
 | 
					
						
							|  |  |  |     code_export_dir = opts["code_export_directory"]
 | 
					
						
							|  |  |  |     if not os.path.exists(code_export_dir):
 | 
					
						
							|  |  |  |         os.makedirs(code_export_dir)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     cwd = os.getcwd()
 | 
					
						
							|  |  |  |     os.chdir(code_export_dir)
 | 
					
						
							|  |  |  |     gen_dir = cost_name + '_cost'
 | 
					
						
							|  |  |  |     if not os.path.exists(gen_dir):
 | 
					
						
							|  |  |  |         os.mkdir(gen_dir)
 | 
					
						
							|  |  |  |     gen_dir_location = os.path.join('.', gen_dir)
 | 
					
						
							|  |  |  |     os.chdir(gen_dir_location)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     # set up expressions
 | 
					
						
							|  |  |  |     cost_jac_expr = transpose(jacobian(cost_expr, vertcat(u, x)))
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     ny = casadi_length(cost_expr)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     y = symbol('y', ny, 1)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     y_adj = jtimes(cost_expr, vertcat(u, x), y, True)
 | 
					
						
							|  |  |  |     y_hess = jacobian(y_adj, vertcat(u, x))
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     ## generate C code
 | 
					
						
							|  |  |  |     suffix_name = '_fun'
 | 
					
						
							|  |  |  |     fun_name = cost_name + middle_name + suffix_name
 | 
					
						
							|  |  |  |     y_fun = Function( fun_name, [x, u, p], \
 | 
					
						
							|  |  |  |             [ cost_expr ])
 | 
					
						
							|  |  |  |     y_fun.generate( fun_name, casadi_opts )
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     suffix_name = '_fun_jac_ut_xt'
 | 
					
						
							|  |  |  |     fun_name = cost_name + middle_name + suffix_name
 | 
					
						
							|  |  |  |     y_fun_jac_ut_xt = Function(fun_name, [x, u, p], \
 | 
					
						
							|  |  |  |             [ cost_expr, cost_jac_expr ])
 | 
					
						
							|  |  |  |     y_fun_jac_ut_xt.generate( fun_name, casadi_opts )
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     suffix_name = '_hess'
 | 
					
						
							|  |  |  |     fun_name = cost_name + middle_name + suffix_name
 | 
					
						
							|  |  |  |     y_hess = Function(fun_name, [x, u, y, p], [ y_hess ])
 | 
					
						
							|  |  |  |     y_hess.generate( fun_name, casadi_opts )
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     os.chdir(cwd)
 | 
					
						
							|  |  |  | 
 | 
					
						
							|  |  |  |     return
 | 
					
						
							|  |  |  | 
 |