Hi, I noticed something which could be a problem for 64 bits users... On x86 (PC), only one test does not pass for line 1.3 (r6355). However, on 64 bits Intel cpu, it seems that 3 tests don't pass, with the two additional tests not passing as follows : 1. ERROR: Constrained Newton opt, GMW Hessian mod, backtracking line search {S2=0.970, te=2048, Rex=0.149} 2. ERROR: Constrained Newton opt, GMW Hessian mod, More and Thuente line search {S2=0.970, te=2048, Rex=0.149} Version of different dependencies are as follows : ======================================== numpy-1.0.4-r2 numeric-24.2-r6 python-2.4.4-r9 scientificpython-2.6.1 ======================================== The machine works on Gentoo Linux. Finally, here is the traceback for the second problematic test (which yields the same error) : ======================================== Traceback (most recent call last): File "/home/semor/relax-1.3/test_suite/system_tests/model_free.py", line 453, in test_opt_constr_newton_gmw_mt_S2_0_970_te_2048_Rex_0_149 self.relax.interpreter._Minimisation.minimise('newton', 'gmw', 'mt') File "/home/semor/relax-1.3/prompt/minimisation.py", line 358, in minimise minimise.minimise(min_algor=min_algor, min_options=min_options, func_tol=func_tol, grad_tol=grad_tol, max_iterations=max_iterations, constraints=constraints, scaling=scaling, verbosity=verbosity) File "/home/semor/relax-1.3/generic_fns/minimise.py", line 236, in minimise minimise(min_algor=min_algor, min_options=min_options, func_tol=func_tol, grad_tol=grad_tol, max_iterations=max_iterations, constraints=constraints, scaling=scaling, verbosity=verbosity) File "/home/semor/relax-1.3/specific_fns/model_free/mf_minimise.py", line 985, in minimise results = generic_minimise(func=self.mf.func, dfunc=self.mf.dfunc, d2func=self.mf.d2func, args=(), x0=param_vector, min_algor=min_algor, min_options=min_options, func_tol=func_tol, grad_tol=grad_tol, maxiter=max_iterations, A=A, b=b, full_output=1, print_flag=verbosity) File "/home/semor/relax-1.3/minfx/generic.py", line 391, in generic_minimise results = method_of_multipliers(func=func, dfunc=dfunc, d2func=d2func, args=args, x0=x0, min_options=min_options, A=A, b=b, l=l, u=u, c=c, dc=dc, d2c=d2c, func_tol=func_tol, grad_tol=grad_tol, maxiter=maxiter, full_output=full_output, print_flag=print_flag) File "/home/semor/relax-1.3/minfx/method_of_multipliers.py", line 143, in method_of_multipliers results = min.minimise() File "/home/semor/relax-1.3/minfx/method_of_multipliers.py", line 397, in minimise results = self.generic_minimise(func=self.func_LA, dfunc=self.func_dLA, d2func=self.func_d2LA, args=self.args, x0=self.xk, min_algor=self.min_algor, min_options=self.min_options, func_tol=None, grad_tol=self.tk, maxiter=maxiter, full_output=1, print_flag=sub_print_flag, print_prefix="\t") File "/home/semor/relax-1.3/minfx/generic.py", line 322, in generic_minimise results = newton(func=func, dfunc=dfunc, d2func=d2func, args=args, x0=x0, min_options=Issue on min_options, func_tol=func_tol, grad_tol=grad_tol, maxiter=maxiter, full_output=full_output, print_flag=print_flag, print_prefix=print_prefix) File "/home/semor/relax-1.3/minfx/newton.py", line 45, in newton results = min.minimise() File "/home/semor/relax-1.3/minfx/base_classes.py", line 234, in minimise self.new_param_func() File "/home/semor/relax-1.3/minfx/newton.py", line 164, in new_param_func self.pk = self.get_pk() File "/home/semor/relax-1.3/minfx/base_classes.py", line 643, in gmw return gmw(self.dfk, self.d2fk, self.I, self.n, self.mach_acc, self.print_prefix, self.print_flag, return_matrix) File "/home/semor/relax-1.3/minfx/hessian_mods/gmw81.py", line 151, in gmw y = solve_linear_equations(L, dfk) File "/usr/lib64/python2.4/site-packages/Numeric/LinearAlgebra.py", line 88, in solve_linear_equations t =_commonType(a, b) File "/usr/lib64/python2.4/site-packages/Numeric/LinearAlgebra.py", line 30, in _commonType t = a.typecode() AttributeError: 'numpy.ndarray' object has no attribute 'typecode' ======================================== As these tests both use the minfx package, the issue probably comes from minfx... If you think it is the case, please feel free to forward my mail on their mailing list... Thanks for help ! Séb :)