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							180 lines
						
					
					
						
							6.6 KiB
						
					
					
				
			
		
		
	
	
							180 lines
						
					
					
						
							6.6 KiB
						
					
					
				| #
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| # Copyright 2019 Gianluca Frison, Dimitris Kouzoupis, Robin Verschueren,
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| # Andrea Zanelli, Niels van Duijkeren, Jonathan Frey, Tommaso Sartor,
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| # Branimir Novoselnik, Rien Quirynen, Rezart Qelibari, Dang Doan,
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| # Jonas Koenemann, Yutao Chen, Tobias Schöls, Jonas Schlagenhauf, Moritz Diehl
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| #
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| # This file is part of acados.
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| #
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| # The 2-Clause BSD License
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| #
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| # Redistribution and use in source and binary forms, with or without
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| # modification, are permitted provided that the following conditions are met:
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| #
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| # 1. Redistributions of source code must retain the above copyright notice,
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| # this list of conditions and the following disclaimer.
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| #
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| # 2. Redistributions in binary form must reproduce the above copyright notice,
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| # this list of conditions and the following disclaimer in the documentation
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| # and/or other materials provided with the distribution.
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| #
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| # THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
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| # AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
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| # IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE
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| # ARE DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR CONTRIBUTORS BE
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| # LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR
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| # CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF
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| # SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS
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| # INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN
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| # CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE)
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| # ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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| # POSSIBILITY OF SUCH DAMAGE.;
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| #
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| 
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| import os
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| from casadi import *
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| from .utils import ALLOWED_CASADI_VERSIONS, is_empty, casadi_length, casadi_version_warning
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| 
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| def generate_c_code_constraint( model, con_name, is_terminal, opts ):
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| 
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|     casadi_version = CasadiMeta.version()
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|     casadi_opts = dict(mex=False, casadi_int='int', casadi_real='double')
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| 
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|     if casadi_version not in (ALLOWED_CASADI_VERSIONS):
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|         casadi_version_warning(casadi_version)
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| 
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|     # load constraint variables and expression
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|     x = model.x
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|     p = model.p
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| 
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|     if isinstance(x, casadi.MX):
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|         symbol = MX.sym
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|     else:
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|         symbol = SX.sym
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| 
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|     if is_terminal:
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|         con_h_expr = model.con_h_expr_e
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|         con_phi_expr = model.con_phi_expr_e
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|         # create dummy u, z
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|         u = symbol('u', 0, 0)
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|         z = symbol('z', 0, 0)
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|     else:
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|         con_h_expr = model.con_h_expr
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|         con_phi_expr = model.con_phi_expr
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|         u = model.u
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|         z = model.z
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| 
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|     if (not is_empty(con_h_expr)) and (not is_empty(con_phi_expr)):
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|         raise Exception("acados: you can either have constraint_h, or constraint_phi, not both.")
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| 
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|     if not (is_empty(con_h_expr) and is_empty(con_phi_expr)):
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|         if is_empty(con_h_expr):
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|             constr_type = 'BGP'
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|         else:
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|             constr_type = 'BGH'
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| 
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|         if is_empty(p):
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|             p = symbol('p', 0, 0)
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| 
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|         if is_empty(z):
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|             z = symbol('z', 0, 0)
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| 
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|         if not (is_empty(con_h_expr)) and opts['generate_hess']:
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|             # multipliers for hessian
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|             nh = casadi_length(con_h_expr)
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|             lam_h = symbol('lam_h', nh, 1)
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| 
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|         # set up & change directory
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|         code_export_dir = opts["code_export_directory"]
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|         if not os.path.exists(code_export_dir):
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|             os.makedirs(code_export_dir)
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| 
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|         cwd = os.getcwd()
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|         os.chdir(code_export_dir)
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|         gen_dir = con_name + '_constraints'
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|         if not os.path.exists(gen_dir):
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|             os.mkdir(gen_dir)
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|         gen_dir_location = './' + gen_dir
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|         os.chdir(gen_dir_location)
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| 
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|         # export casadi functions
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|         if constr_type == 'BGH':
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|             if is_terminal:
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|                 fun_name = con_name + '_constr_h_e_fun_jac_uxt_zt'
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|             else:
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|                 fun_name = con_name + '_constr_h_fun_jac_uxt_zt'
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| 
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|             jac_ux_t = transpose(jacobian(con_h_expr, vertcat(u,x)))
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|             jac_z_t = jacobian(con_h_expr, z)
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|             constraint_fun_jac_tran = Function(fun_name, [x, u, z, p], \
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|                     [con_h_expr, jac_ux_t, jac_z_t])
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| 
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|             constraint_fun_jac_tran.generate(fun_name, casadi_opts)
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|             if opts['generate_hess']:
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| 
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|                 if is_terminal:
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|                     fun_name = con_name + '_constr_h_e_fun_jac_uxt_zt_hess'
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|                 else:
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|                     fun_name = con_name + '_constr_h_fun_jac_uxt_zt_hess'
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| 
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|                 # adjoint
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|                 adj_ux = jtimes(con_h_expr, vertcat(u, x), lam_h, True)
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|                 # hessian
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|                 hess_ux = jacobian(adj_ux, vertcat(u, x))
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| 
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|                 adj_z = jtimes(con_h_expr, z, lam_h, True)
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|                 hess_z = jacobian(adj_z, z)
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| 
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|                 # set up functions
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|                 constraint_fun_jac_tran_hess = \
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|                     Function(fun_name, [x, u, lam_h, z, p], \
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|                       [con_h_expr, jac_ux_t, hess_ux, jac_z_t, hess_z])
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| 
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|                 # generate C code
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|                 constraint_fun_jac_tran_hess.generate(fun_name, casadi_opts)
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| 
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|             if is_terminal:
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|                 fun_name = con_name + '_constr_h_e_fun'
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|             else:
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|                 fun_name = con_name + '_constr_h_fun'
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|             h_fun = Function(fun_name, [x, u, z, p], [con_h_expr])
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|             h_fun.generate(fun_name, casadi_opts)
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| 
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|         else: # BGP constraint
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|             if is_terminal:
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|                 fun_name = con_name + '_phi_e_constraint'
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|                 r = model.con_r_in_phi_e
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|                 con_r_expr = model.con_r_expr_e
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|             else:
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|                 fun_name = con_name + '_phi_constraint'
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|                 r = model.con_r_in_phi
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|                 con_r_expr = model.con_r_expr
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| 
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|             nphi = casadi_length(con_phi_expr)
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|             con_phi_expr_x_u_z = substitute(con_phi_expr, r, con_r_expr)
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|             phi_jac_u = jacobian(con_phi_expr_x_u_z, u)
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|             phi_jac_x = jacobian(con_phi_expr_x_u_z, x)
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|             phi_jac_z = jacobian(con_phi_expr_x_u_z, z)
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| 
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|             hess = hessian(con_phi_expr[0], r)[0]
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|             for i in range(1, nphi):
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|                 hess = vertcat(hess, hessian(con_phi_expr[i], r)[0])
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| 
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|             r_jac_u = jacobian(con_r_expr, u)
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|             r_jac_x = jacobian(con_r_expr, x)
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| 
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|             constraint_phi = \
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|                 Function(fun_name, [x, u, z, p], \
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|                     [con_phi_expr_x_u_z, \
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|                     vertcat(transpose(phi_jac_u), \
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|                     transpose(phi_jac_x)), \
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|                     transpose(phi_jac_z), \
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|                     hess, vertcat(transpose(r_jac_u), \
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|                     transpose(r_jac_x))])
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| 
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|             constraint_phi.generate(fun_name, casadi_opts)
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| 
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|         # change directory back
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|         os.chdir(cwd)
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| 
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|     return
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| 
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