ó äÊMc@s‡dZddlmZddlmZmZmZdZdZdZ dZ dZ ee e e Z id e6d e6d e 6d e 6d e 6de 6Z dZdZdZdZdZdZdZdZdZi de6de6de6de6de6de6de6de6de6ZddlZejZdd!ddddde dddddddddddd„Zedkrƒd „ZeƒndS("s´ TNC: A python interface to the TNC non-linear optimizer TNC is a non-linear optimizer. To use it, you must provide a function to minimize. The function must take one argument: the list of coordinates where to evaluate the function; and it must return either a tuple, whose first element is the value of the function, and whose second argument is the gradient of the function (as a list of values); or None, to abort the minimization. iÿÿÿÿ(t moduleTNC(tasarraytinftarrayiiiiis No messagessOne line per iterationsInformational messagess Version infos Exit reasonss All messagesiiiisInfeasible (low > up)sLocal minima reach (|pg| ~= 0)sConverged (|f_n-f_(n-1)| ~= 0)sConverged (|x_n-x_(n-1)| ~= 0)s)Max. number of function evaluations reachsLinear search faileds.All lower bounds are equal to the upper boundssUnable to progresss"User requested end of minimizationNg:Œ0âŽyE>csVt|dtƒjƒ}t|ƒ}|dkr@dg|}nt|ƒ|kratdƒ‚n|dk r¬itd6td6td6t d6t d6t d6j |t ƒ} n|rʇ‡‡fd †}n6ˆdkr뇇fd †}n‡‡‡fd †}dg|}dg|}xŒt |ƒD]~}||dkrNt t}}q'||\}}|dkrxt || 1, set to 0.25. Defaults to -1. stepmx : float Maximum step for the line search. May be increased during call. If too small, it will be set to 10.0. Defaults to 0. accuracy : float Relative precision for finite difference calculations. If <= machine_precision, set to sqrt(machine_precision). Defaults to 0. fmin : float Minimum function value estimate. Defaults to 0. ftol : float Precision goal for the value of f in the stoping criterion. If ftol < 0.0, ftol is set to 0.0 defaults to -1. xtol : float Precision goal for the value of x in the stopping criterion (after applying x scaling factors). If xtol < 0.0, xtol is set to sqrt(machine_precision). Defaults to -1. pgtol : float Precision goal for the value of the projected gradient in the stopping criterion (after applying x scaling factors). If pgtol < 0.0, pgtol is set to 1e-2 * sqrt(accuracy). Setting it to 0.0 is not recommended. Defaults to -1. rescale : float Scaling factor (in log10) used to trigger f value rescaling. If 0, rescale at each iteration. If a large value, never rescale. If < 0, rescale is set to 1.3. Returns ------- x : list of floats The solution. nfeval : int The number of function evaluations. rc : int Return code as defined in the RCSTRINGS dict. tdtypes length of x0 != length of boundsiiiiiics@t|ƒ}ˆ|ˆŒ}t|ˆˆˆŒ}|t|ƒfS(N(Rt approx_fprimetlist(txtftg(tepsilontargstfunc(s3C:\Python27\Lib\site-packages\scipy\optimize\tnc.pyt func_and_grad¹s cs1t|ƒ}ˆ|ˆŒ\}}|t|ƒfS(N(RR(RRR (R R (s3C:\Python27\Lib\site-packages\scipy\optimize\tnc.pyR ¿s cs:t|ƒ}ˆ|ˆŒ}ˆ|ˆŒ}|t|ƒfS(N(RR(RRR (R tfprimeR (s3C:\Python27\Lib\site-packages\scipy\optimize\tnc.pyR Äs idi N(NN(RtfloatttolisttlentNonet ValueErrortMSG_NONEtMSG_ITERtMSG_INFOtMSG_VERStMSG_EXITtMSG_ALLtgettrangeRtmaxRtminimizeR(R tx0RR t approx_gradtboundsR tscaletoffsettmessagestmaxCGittmaxfuntetatstepmxtaccuracytfmintftoltxtoltpgtoltrescaletdisptnR tlowtuptitltutrctnfR((RR R R s3C:\Python27\Lib\site-packages\scipy\optimize\tnc.pytfmin_tncQsH[                t__main__cCsldGHd„}t|ddgdddgddgfƒ\}}}d G|Gd Gt|GHd G|GHd GHHdS( NtExamplecSs•t|ddƒtt|dƒdƒ}ddg}d|d|dtoptimizeRRR7t__name__R?(((s3C:\Python27\Lib\site-packages\scipy\optimize\tnc.pyt!sX       ˜